proyecto/proyecto-hacking-civico.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Proyecto_Mosiño.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPJQqBN8N6x5QPDFKSowL9S",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/MarcelaMosino/hacking-civico/blob/master/proyecto/proyecto-hacking-civico.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4PJic8NhcNus"
      },
      "source": [
        "# Análisis de la brecha salarial y prestaciones laborales entre hombres y mujeres de los años 2014 a 2018\n",
        "\n",
        "Para este proyecto se utilizaron datos obtenidos del portal de datos abiertos https://datos.gob.mx/\n",
        "Estos documentos csv pertenecen al INEGI y comprenden los años de 2014 a 2018.\n",
        "\n",
        "Dentro de este proyecto se aborda un tema de género, donde existen diferencias marcadas entre estados respecto a los ingresos que perciben hombres y mujeres. Además, se consideraron dos documentos dado que la información de uno solo la considero incompleta."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gx8J_s-nymGL"
      },
      "source": [
        "![diferencias-hombres-y-mujeres.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fajngq7ZdnTW"
      },
      "source": [
        "**Comienzo importando las bibliotecas** con alias, se utilizarán bibliotecas para análisis estadístico, *pandas* para manejo de datos y *altair* para visualización de los mismos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qH9SgLayl7aE"
      },
      "source": [
        "##Importación de bibliotecas\n",
        "import statistics\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "import altair as alt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2vkiU0ZbecHk"
      },
      "source": [
        "###Carga de los datos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jgxpHd5eKP0O",
        "outputId": "7b1b866b-ee76-4197-d174-337b59358879",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 208
        }
      },
      "source": [
        "##Obtención de los datos del primer set, referente a la brecha salarial\n",
        "!wget https://www.inegi.org.mx/contenidos/datosgob/tdr05_brecha_hom_muj.csv"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-10-03 04:39:34--  https://www.inegi.org.mx/contenidos/datosgob/tdr05_brecha_hom_muj.csv\n",
            "Resolving www.inegi.org.mx (www.inegi.org.mx)... 200.23.8.5, 200.33.109.5\n",
            "Connecting to www.inegi.org.mx (www.inegi.org.mx)|200.23.8.5|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 5790 (5.7K) [application/octet-stream]\n",
            "Saving to: ‘tdr05_brecha_hom_muj.csv.1’\n",
            "\n",
            "tdr05_brecha_hom_mu 100%[===================>]   5.65K  --.-KB/s    in 0s      \n",
            "\n",
            "2020-10-03 04:39:34 (407 MB/s) - ‘tdr05_brecha_hom_muj.csv.1’ saved [5790/5790]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iDncg5HHmdZt"
      },
      "source": [
        "##Lectura de los datos\n",
        "brecha = '/content/tdr05_brecha_hom_muj.csv'\n",
        "\n",
        "# Utilizamos la función de Pandas para cargar un archivo CSV\n",
        "brecha_data = pd.read_csv(brecha, encoding='latin-1')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XWH0RXJcK1Mx",
        "outputId": "bce99a26-1335-421e-d036-17ade64db916",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "##Datos de Brecha de género\n",
        "brecha_data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Entidad federativa</th>\n",
              "      <th>Periodo</th>\n",
              "      <th>Trimestre</th>\n",
              "      <th>Brecha en el ingreso entre hombres y mujeres</th>\n",
              "      <th>Ingreso promedio por hora trabajada de la población ocupada de mujeres</th>\n",
              "      <th>Ingreso promedio por hora trabajada de la población ocupada de hombres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Estados Unidos Mexicanos</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-0.1</td>\n",
              "      <td>30.9</td>\n",
              "      <td>30.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aguascalientes</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.6</td>\n",
              "      <td>29.4</td>\n",
              "      <td>27.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Baja California</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>2.5</td>\n",
              "      <td>33.3</td>\n",
              "      <td>35.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Baja California Sur</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>4.7</td>\n",
              "      <td>45.3</td>\n",
              "      <td>50.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Campeche</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.7</td>\n",
              "      <td>33.8</td>\n",
              "      <td>32.1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Entidad federativa  ...  Ingreso promedio por hora trabajada de la población ocupada de hombres\n",
              "0  Estados Unidos Mexicanos  ...                                               30.8                     \n",
              "1            Aguascalientes  ...                                               27.8                     \n",
              "2           Baja California  ...                                               35.8                     \n",
              "3       Baja California Sur  ...                                               50.0                     \n",
              "4                  Campeche  ...                                               32.1                     \n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s1ZVG01ST0R6"
      },
      "source": [
        "###Perfilamiento de los datos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hY_IRmEkTULV",
        "outputId": "0e873fdd-7969-484f-c5bc-2b3660f33858",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        }
      },
      "source": [
        "#Número de filas y columnas\n",
        "print('Número de filas: {}'.format(brecha_data.shape[0]))\n",
        "print('Número de columnas: {}'.format(brecha_data.shape[1]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Número de filas: 165\n",
            "Número de columnas: 6\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Juc4ilbPULei",
        "outputId": "ca413bc7-8339-4e3c-fd30-ccb2eadff2d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        }
      },
      "source": [
        "#Columnas en el set\n",
        "brecha_data.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Entidad federativa', 'Periodo', 'Trimestre',\n",
              "       'Brecha en el ingreso entre hombres y mujeres',\n",
              "       'Ingreso promedio por hora trabajada de la población ocupada de mujeres',\n",
              "       'Ingreso promedio por hora trabajada de la población ocupada de hombres'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IqdUrsomUSrC",
        "outputId": "177c87b6-7e65-451f-8e33-340744d926b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        }
      },
      "source": [
        "##Limpieza de los datos\n",
        "brecha_data.columns = brecha_data.columns.str.replace(' ', '_')\n",
        "brecha_data.columns = brecha_data.columns.str.lower()\n",
        "brecha_data.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['entidad_federativa', 'periodo', 'trimestre',\n",
              "       'brecha_en_el_ingreso_entre_hombres_y_mujeres',\n",
              "       'ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres',\n",
              "       'ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9YyvsxJEVvPP",
        "outputId": "6344ff26-b835-45e3-c14c-c05d876c69fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        }
      },
      "source": [
        "##Valores Nulos\n",
        "for col in brecha_data.columns:\n",
        "  print('Valores nulos en \"{}\": {}'.format(col,brecha_data[col].isna().sum()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Valores nulos en \"entidad_federativa\": 0\n",
            "Valores nulos en \"periodo\": 0\n",
            "Valores nulos en \"trimestre\": 0\n",
            "Valores nulos en \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0\n",
            "Valores nulos en \"ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres\": 0\n",
            "Valores nulos en \"ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres\": 0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nYx8BLCIV2Fg",
        "outputId": "dbe5872c-9a8e-4c40-8504-768817265c6d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 139
        }
      },
      "source": [
        "#Tipos de datos\n",
        "brecha_data.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa                                                         object\n",
              "periodo                                                                     int64\n",
              "trimestre                                                                   int64\n",
              "brecha_en_el_ingreso_entre_hombres_y_mujeres                              float64\n",
              "ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres    float64\n",
              "ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres    float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 135
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gF8-3XBAWPBs",
        "outputId": "17961f3b-a91c-46bb-c320-41ca0d40face",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 239
        }
      },
      "source": [
        "##Volvemos a observar los datos\n",
        "brecha_data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>entidad_federativa</th>\n",
              "      <th>periodo</th>\n",
              "      <th>trimestre</th>\n",
              "      <th>brecha_en_el_ingreso_entre_hombres_y_mujeres</th>\n",
              "      <th>ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres</th>\n",
              "      <th>ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Estados Unidos Mexicanos</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-0.1</td>\n",
              "      <td>30.9</td>\n",
              "      <td>30.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aguascalientes</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.6</td>\n",
              "      <td>29.4</td>\n",
              "      <td>27.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Baja California</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>2.5</td>\n",
              "      <td>33.3</td>\n",
              "      <td>35.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Baja California Sur</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>4.7</td>\n",
              "      <td>45.3</td>\n",
              "      <td>50.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Campeche</td>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.7</td>\n",
              "      <td>33.8</td>\n",
              "      <td>32.1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         entidad_federativa  ...  ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres\n",
              "0  Estados Unidos Mexicanos  ...                                               30.8                     \n",
              "1            Aguascalientes  ...                                               27.8                     \n",
              "2           Baja California  ...                                               35.8                     \n",
              "3       Baja California Sur  ...                                               50.0                     \n",
              "4                  Campeche  ...                                               32.1                     \n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-yU_Y1FIXdBf"
      },
      "source": [
        "#Utilizo una nueva variable para acortar el nombre\n",
        "brecha_data['brecha_ingreso'] = brecha_data.brecha_en_el_ingreso_entre_hombres_y_mujeres\n",
        "brecha_data['ingresos_hombres'] = brecha_data.ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres\n",
        "brecha_data['ingresos_mujeres'] = brecha_data.ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eFaREElnZ8QQ"
      },
      "source": [
        "###Descripción por tipo\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HflGPp9DZ_Af"
      },
      "source": [
        "##Se clasifican los datos como categóricos o numéricos\n",
        "numerical = brecha_data.select_dtypes(include='number')\n",
        "categorical = brecha_data.select_dtypes(include=['object', 'bool', 'category', 'datetime64[ns]'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Uhp1VAuIaSgw",
        "outputId": "54305505-e1fc-4a0c-d8bd-05c71e8b4c9b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 222
        }
      },
      "source": [
        "numerical.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>periodo</th>\n",
              "      <th>trimestre</th>\n",
              "      <th>brecha_en_el_ingreso_entre_hombres_y_mujeres</th>\n",
              "      <th>ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres</th>\n",
              "      <th>ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres</th>\n",
              "      <th>brecha_ingreso</th>\n",
              "      <th>ingresos_hombres</th>\n",
              "      <th>ingresos_mujeres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-0.1</td>\n",
              "      <td>30.9</td>\n",
              "      <td>30.8</td>\n",
              "      <td>-0.1</td>\n",
              "      <td>30.8</td>\n",
              "      <td>30.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.6</td>\n",
              "      <td>29.4</td>\n",
              "      <td>27.8</td>\n",
              "      <td>-1.6</td>\n",
              "      <td>27.8</td>\n",
              "      <td>29.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>2.5</td>\n",
              "      <td>33.3</td>\n",
              "      <td>35.8</td>\n",
              "      <td>2.5</td>\n",
              "      <td>35.8</td>\n",
              "      <td>33.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>4.7</td>\n",
              "      <td>45.3</td>\n",
              "      <td>50.0</td>\n",
              "      <td>4.7</td>\n",
              "      <td>50.0</td>\n",
              "      <td>45.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2014</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.7</td>\n",
              "      <td>33.8</td>\n",
              "      <td>32.1</td>\n",
              "      <td>-1.7</td>\n",
              "      <td>32.1</td>\n",
              "      <td>33.8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   periodo  trimestre  ...  ingresos_hombres  ingresos_mujeres\n",
              "0     2014          4  ...              30.8              30.9\n",
              "1     2014          4  ...              27.8              29.4\n",
              "2     2014          4  ...              35.8              33.3\n",
              "3     2014          4  ...              50.0              45.3\n",
              "4     2014          4  ...              32.1              33.8\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zuwIzhYqaSoj",
        "outputId": "9d4f694b-5803-4fce-e0ab-8c65b3af7df7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        }
      },
      "source": [
        "categorical.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>entidad_federativa</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Estados Unidos Mexicanos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aguascalientes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Baja California</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Baja California Sur</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Campeche</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         entidad_federativa\n",
              "0  Estados Unidos Mexicanos\n",
              "1            Aguascalientes\n",
              "2           Baja California\n",
              "3       Baja California Sur\n",
              "4                  Campeche"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EcNG04ttabgg"
      },
      "source": [
        "# para conocer todos los tipo de datos\n",
        "?brecha_data.select_dtypes"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SY2-8CXUaoo2",
        "outputId": "36bd3aed-fe06-424c-b0fe-ff8c5fd4e6b0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        }
      },
      "source": [
        "numerical.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>periodo</th>\n",
              "      <th>trimestre</th>\n",
              "      <th>brecha_en_el_ingreso_entre_hombres_y_mujeres</th>\n",
              "      <th>ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_mujeres</th>\n",
              "      <th>ingreso_promedio_por_hora_trabajada_de_la_población_ocupada_de_hombres</th>\n",
              "      <th>brecha_ingreso</th>\n",
              "      <th>ingresos_hombres</th>\n",
              "      <th>ingresos_mujeres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>165.000000</td>\n",
              "      <td>165.0</td>\n",
              "      <td>165.000000</td>\n",
              "      <td>165.000000</td>\n",
              "      <td>165.000000</td>\n",
              "      <td>165.000000</td>\n",
              "      <td>165.000000</td>\n",
              "      <td>165.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.394545</td>\n",
              "      <td>34.552727</td>\n",
              "      <td>34.947273</td>\n",
              "      <td>0.394545</td>\n",
              "      <td>34.947273</td>\n",
              "      <td>34.552727</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.418519</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.578245</td>\n",
              "      <td>6.439177</td>\n",
              "      <td>7.221416</td>\n",
              "      <td>2.578245</td>\n",
              "      <td>7.221416</td>\n",
              "      <td>6.439177</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>2014.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>-7.300000</td>\n",
              "      <td>23.800000</td>\n",
              "      <td>17.900000</td>\n",
              "      <td>-7.300000</td>\n",
              "      <td>17.900000</td>\n",
              "      <td>23.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>-1.300000</td>\n",
              "      <td>30.000000</td>\n",
              "      <td>29.600000</td>\n",
              "      <td>-1.300000</td>\n",
              "      <td>29.600000</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>34.100000</td>\n",
              "      <td>33.800000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>33.800000</td>\n",
              "      <td>34.100000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>38.400000</td>\n",
              "      <td>39.300000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>39.300000</td>\n",
              "      <td>38.400000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2018.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7.600000</td>\n",
              "      <td>55.500000</td>\n",
              "      <td>56.800000</td>\n",
              "      <td>7.600000</td>\n",
              "      <td>56.800000</td>\n",
              "      <td>55.500000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           periodo  trimestre  ...  ingresos_hombres  ingresos_mujeres\n",
              "count   165.000000      165.0  ...        165.000000        165.000000\n",
              "mean   2016.000000        4.0  ...         34.947273         34.552727\n",
              "std       1.418519        0.0  ...          7.221416          6.439177\n",
              "min    2014.000000        4.0  ...         17.900000         23.800000\n",
              "25%    2015.000000        4.0  ...         29.600000         30.000000\n",
              "50%    2016.000000        4.0  ...         33.800000         34.100000\n",
              "75%    2017.000000        4.0  ...         39.300000         38.400000\n",
              "max    2018.000000        4.0  ...         56.800000         55.500000\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7RqGvG-BTkrE"
      },
      "source": [
        "###Análisis de los datos"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P8LTGOV3e4v_"
      },
      "source": [
        "Se busca conocer si en promedio la diferencia ha ido disminuyendo con el paso del tiempo, la diferencia entre entidades federativas y compararla con la información más actual (2018)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0bUwKsL8ZYd-",
        "outputId": "3eb1549f-91eb-48e9-b177-2632b83e6cf3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        }
      },
      "source": [
        "## Cambio en el ingreso a través del tiempo\n",
        "brecha_data.groupby('periodo').brecha_ingreso.describe()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>periodo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2014</th>\n",
              "      <td>33.0</td>\n",
              "      <td>0.157576</td>\n",
              "      <td>2.297693</td>\n",
              "      <td>-6.1</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>0.1</td>\n",
              "      <td>1.6</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015</th>\n",
              "      <td>33.0</td>\n",
              "      <td>0.036364</td>\n",
              "      <td>2.648209</td>\n",
              "      <td>-5.7</td>\n",
              "      <td>-1.7</td>\n",
              "      <td>-0.1</td>\n",
              "      <td>1.9</td>\n",
              "      <td>5.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016</th>\n",
              "      <td>33.0</td>\n",
              "      <td>0.651515</td>\n",
              "      <td>2.541053</td>\n",
              "      <td>-5.4</td>\n",
              "      <td>-0.6</td>\n",
              "      <td>0.6</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017</th>\n",
              "      <td>33.0</td>\n",
              "      <td>0.690909</td>\n",
              "      <td>2.757984</td>\n",
              "      <td>-7.3</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>1.1</td>\n",
              "      <td>1.9</td>\n",
              "      <td>7.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018</th>\n",
              "      <td>33.0</td>\n",
              "      <td>0.436364</td>\n",
              "      <td>2.713141</td>\n",
              "      <td>-7.1</td>\n",
              "      <td>-0.6</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>6.3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         count      mean       std  min  25%  50%  75%  max\n",
              "periodo                                                    \n",
              "2014      33.0  0.157576  2.297693 -6.1 -1.2  0.1  1.6  5.0\n",
              "2015      33.0  0.036364  2.648209 -5.7 -1.7 -0.1  1.9  5.7\n",
              "2016      33.0  0.651515  2.541053 -5.4 -0.6  0.6  3.0  5.1\n",
              "2017      33.0  0.690909  2.757984 -7.3 -1.3  1.1  1.9  7.6\n",
              "2018      33.0  0.436364  2.713141 -7.1 -0.6  0.5  1.4  6.3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d78kjtP4fbAr"
      },
      "source": [
        "> Nos damos cuenta de cómo a través del tiempo la diferencia parece no tener una tendencia. Los datos no son suficientes para inferir que hay un incremento o decremento, sin embargo, en comparación con el año 2017, el 2018 parece ser mucho más favorable para las mujeres."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W67yea_QbEeZ",
        "outputId": "9388c98f-6768-4631-f2eb-5bcc1694a542",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "source": [
        "## Promedio de ingresos de las mujeres por estado\n",
        "brecha_data.groupby('entidad_federativa').ingresos_mujeres.mean().sort_values()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa\n",
              "Morelos                            26.24\n",
              "Tlaxcala                           26.70\n",
              "Chiapas                            26.88\n",
              "Puebla                             26.92\n",
              "Guerrero                           26.96\n",
              "Oaxaca                             27.02\n",
              "Veracruz de Ignacio de la Llave    28.56\n",
              "México                             29.84\n",
              "Hidalgo                            30.54\n",
              "Michoacán de Ocampo                31.46\n",
              "Guanajuato                         31.50\n",
              "Yucatán                            32.12\n",
              "Durango                            32.70\n",
              "Aguascalientes                     32.98\n",
              "Querétaro                          33.42\n",
              "Zacatecas                          34.14\n",
              "Estados Unidos Mexicanos           34.16\n",
              "San Luis Potosí                    34.30\n",
              "Campeche                           34.88\n",
              "Jalisco                            35.18\n",
              "Nayarit                            35.34\n",
              "Tabasco                            35.52\n",
              "Tamaulipas                         36.98\n",
              "Quintana Roo                       37.82\n",
              "Baja California                    38.04\n",
              "Chihuahua                          38.72\n",
              "Coahuila de Zaragoza               38.96\n",
              "Colima                             40.10\n",
              "Sinaloa                            40.80\n",
              "Sonora                             41.56\n",
              "Nuevo León                         44.72\n",
              "Ciudad de México                   45.12\n",
              "Baja California Sur                50.06\n",
              "Name: ingresos_mujeres, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I79qjOJLgdXA"
      },
      "source": [
        "> Con esta consulta, sabemos que los ingresos son más altos en Baja California Sur y en Morelos es donde las mujeres perciben menos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dV-lWA49gtAD",
        "outputId": "be84a094-c446-4d30-dc63-72d6c886d63f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "source": [
        "## Promedio de ingresos de los hombres por estado\n",
        "brecha_data.groupby('entidad_federativa').ingresos_hombres.mean().sort_values()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa\n",
              "Chiapas                            20.74\n",
              "Morelos                            27.16\n",
              "Oaxaca                             27.18\n",
              "Puebla                             27.76\n",
              "Tlaxcala                           28.12\n",
              "Veracruz de Ignacio de la Llave    28.36\n",
              "Guerrero                           29.08\n",
              "Hidalgo                            29.94\n",
              "Zacatecas                          30.78\n",
              "México                             31.02\n",
              "Aguascalientes                     31.42\n",
              "Tabasco                            31.62\n",
              "San Luis Potosí                    31.78\n",
              "Durango                            31.90\n",
              "Guanajuato                         31.92\n",
              "Yucatán                            32.92\n",
              "Campeche                           33.38\n",
              "Michoacán de Ocampo                34.04\n",
              "Estados Unidos Mexicanos           34.40\n",
              "Querétaro                          35.56\n",
              "Tamaulipas                         37.72\n",
              "Nayarit                            37.78\n",
              "Quintana Roo                       38.22\n",
              "Jalisco                            39.28\n",
              "Coahuila de Zaragoza               39.54\n",
              "Baja California                    40.16\n",
              "Sinaloa                            41.08\n",
              "Sonora                             41.64\n",
              "Chihuahua                          42.16\n",
              "Colima                             43.04\n",
              "Nuevo León                         44.36\n",
              "Ciudad de México                   46.18\n",
              "Baja California Sur                53.02\n",
              "Name: ingresos_hombres, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mm5jFfObgt6V"
      },
      "source": [
        ">Con esta consulta, sabemos que los ingresos son más altos en Baja California Sur y en Morelos es donde las mujeres perciben menos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pPX97QXlT193",
        "outputId": "6799aff4-e8a8-4a47-be30-c848c97dc357",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "source": [
        "## Promedio por entidad federativa\n",
        "lugares = brecha_data.groupby('entidad_federativa').brecha_ingreso.mean()\n",
        "Consulta1 =lugares.sort_values()\n",
        "lugares.sort_values()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa\n",
              "Chiapas                           -6.14\n",
              "Tabasco                           -3.90\n",
              "Zacatecas                         -3.36\n",
              "San Luis Potosí                   -2.52\n",
              "Aguascalientes                    -1.56\n",
              "Campeche                          -1.50\n",
              "Durango                           -0.80\n",
              "Hidalgo                           -0.60\n",
              "Nuevo León                        -0.36\n",
              "Veracruz de Ignacio de la Llave   -0.20\n",
              "Sonora                             0.08\n",
              "Oaxaca                             0.16\n",
              "Estados Unidos Mexicanos           0.24\n",
              "Sinaloa                            0.28\n",
              "Quintana Roo                       0.40\n",
              "Guanajuato                         0.42\n",
              "Coahuila de Zaragoza               0.58\n",
              "Tamaulipas                         0.74\n",
              "Yucatán                            0.80\n",
              "Puebla                             0.84\n",
              "Morelos                            0.92\n",
              "Ciudad de México                   1.06\n",
              "México                             1.18\n",
              "Tlaxcala                           1.42\n",
              "Guerrero                           2.12\n",
              "Baja California                    2.12\n",
              "Querétaro                          2.14\n",
              "Nayarit                            2.44\n",
              "Michoacán de Ocampo                2.58\n",
              "Colima                             2.94\n",
              "Baja California Sur                2.96\n",
              "Chihuahua                          3.44\n",
              "Jalisco                            4.10\n",
              "Name: brecha_ingreso, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cBzfSAaChAOy"
      },
      "source": [
        ">Promedio por entidad federativa de la brecha salarial, entre más alejado del 0 están los números, más grande es la brecha salarial, para números superiores a 0, es favorecedor para los hombres, mientras que números menores a 0 son favorecedores para las mujeres"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FosE7d1AAirV",
        "outputId": "053a135e-c135-47be-cf7a-0d2665953b13",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "source": [
        "## En 2018, diferencia en el último año, ordenada\n",
        "brecha_actual = brecha_data.query('periodo ==\"2018\"')\n",
        "Consulta2= brecha_actual.groupby('entidad_federativa').brecha_ingreso.mean().sort_values()\n",
        "Consulta2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa\n",
              "Chiapas                           -7.1\n",
              "Tabasco                           -5.0\n",
              "Chihuahua                         -3.1\n",
              "Aguascalientes                    -2.8\n",
              "San Luis Potosí                   -1.9\n",
              "Sonora                            -1.7\n",
              "Zacatecas                         -1.7\n",
              "Campeche                          -1.0\n",
              "Veracruz de Ignacio de la Llave   -0.6\n",
              "Durango                           -0.6\n",
              "Tamaulipas                        -0.3\n",
              "Hidalgo                           -0.3\n",
              "Morelos                            0.0\n",
              "Estados Unidos Mexicanos           0.3\n",
              "Quintana Roo                       0.3\n",
              "Yucatán                            0.4\n",
              "Nuevo León                         0.5\n",
              "Baja California                    0.7\n",
              "Coahuila de Zaragoza               0.9\n",
              "México                             1.0\n",
              "Sinaloa                            1.0\n",
              "Baja California Sur                1.3\n",
              "Colima                             1.3\n",
              "Ciudad de México                   1.4\n",
              "Tlaxcala                           1.4\n",
              "Oaxaca                             1.8\n",
              "Puebla                             2.1\n",
              "Querétaro                          3.4\n",
              "Michoacán de Ocampo                3.8\n",
              "Guerrero                           4.0\n",
              "Guanajuato                         4.0\n",
              "Nayarit                            4.6\n",
              "Jalisco                            6.3\n",
              "Name: brecha_ingreso, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5lyXaKEMhgMk"
      },
      "source": [
        "> Con estos resultados podemos hacer una comparativa del estado más actual de la brecha respecto al promedio del 2014 al 2018"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gFXXkqVwcyyN",
        "outputId": "52c0bead-9c56-41e1-8712-a4ced1002f91",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510
        }
      },
      "source": [
        "# Gráfica del promedio de la brecha\n",
        "datos = brecha_data\n",
        "titulo_grafico = \"Brecha en los ingresos de hombres y mujeres por entidad federativa\"\n",
        "graf=alt.Chart(datos).mark_bar(color = 'pink').encode(\n",
        "    x = alt.X(\"entidad_federativa:N\", title=\"Entidad Federativa\"),\n",
        "    y = alt.Y(\"mean(brecha_ingreso):Q\", title = \"Diferencia de ingresos (promedio)\")\n",
        ").properties(\n",
        "    title = titulo_grafico,\n",
        "    width = 750,\n",
        "    height = 300\n",
        ")\n",
        "\n",
        "etiquetas = alt.Chart(datos).mark_text(color = 'black').encode(\n",
        "    x = alt.X(\"entidad_federativa:N\"),\n",
        "    y = alt.Y(\"mean(brecha_ingreso):Q\"),\n",
        "    text = alt.Text(\"mean(brecha_ingreso):Q\", )\n",
        ")\n",
        "\n",
        "grafica_brecha = graf+etiquetas\n",
        "grafica_brecha"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alt.LayerChart(...)"
            ],
            "text/html": [
              "\n",
              "<div id=\"altair-viz-8de10cde60664e42804b79e756aaa142\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-8de10cde60664e42804b79e756aaa142\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-8de10cde60664e42804b79e756aaa142\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function loadScript(lib) {\n",
              "      return new Promise(function(resolve, reject) {\n",
              "        var s = document.createElement('script');\n",
              "        s.src = paths[lib];\n",
              "        s.async = true;\n",
              "        s.onload = () => resolve(paths[lib]);\n",
              "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "      });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else if (typeof vegaEmbed === \"function\") {\n",
              "      displayChart(vegaEmbed);\n",
              "    } else {\n",
              "      loadScript(\"vega\")\n",
              "        .then(() => loadScript(\"vega-lite\"))\n",
              "        .then(() => loadScript(\"vega-embed\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"bar\", \"color\": \"pink\"}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"brecha_ingreso\", \"title\": \"Diferencia de ingresos (promedio)\"}}, \"height\": 300, \"title\": \"Brecha en los ingresos de hombres y mujeres por entidad federativa\", \"width\": 750}, {\"mark\": {\"type\": \"text\", \"color\": \"black\"}, \"encoding\": {\"text\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"brecha_ingreso\"}, \"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"brecha_ingreso\"}}}], \"data\": {\"name\": \"data-d5c368184532cfc834abe4bc8ec5fad9\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-d5c368184532cfc834abe4bc8ec5fad9\": [{\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.8, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 30.8, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.8, \"brecha_ingreso\": -1.6, \"ingresos_hombres\": 27.8, \"ingresos_mujeres\": 29.4}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.8, \"brecha_ingreso\": 2.5, \"ingresos_hombres\": 35.8, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 50.0, \"brecha_ingreso\": 4.7, \"ingresos_hombres\": 50.0, \"ingresos_mujeres\": 45.3}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.1, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 32.1, \"ingresos_mujeres\": 33.8}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.2, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 37.2, \"ingresos_mujeres\": 35.2}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.3, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 39.3, \"ingresos_mujeres\": 37.3}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -6.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 17.9, \"brecha_ingreso\": -6.1, \"ingresos_hombres\": 17.9, \"ingresos_mujeres\": 24.0}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 36.6, \"brecha_ingreso\": 5.0, \"ingresos_hombres\": 36.6, \"ingresos_mujeres\": 31.6}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.2, \"brecha_ingreso\": -0.7, \"ingresos_hombres\": 39.2, \"ingresos_mujeres\": 39.9}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.9, \"brecha_ingreso\": -0.4, \"ingresos_hombres\": 27.9, \"ingresos_mujeres\": 28.3}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.0, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 29.0, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.7, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 25.7, \"ingresos_mujeres\": 25.3}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.9, \"brecha_ingreso\": -1.2, \"ingresos_hombres\": 26.9, \"ingresos_mujeres\": 28.1}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.6, \"brecha_ingreso\": 3.1, \"ingresos_hombres\": 34.6, \"ingresos_mujeres\": 31.5}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.2, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 27.2, \"ingresos_mujeres\": 25.6}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.3, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 30.3, \"ingresos_mujeres\": 28.9}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.2, \"brecha_ingreso\": 2.5, \"ingresos_hombres\": 27.2, \"ingresos_mujeres\": 24.7}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.0, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 34.0, \"ingresos_mujeres\": 33.5}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.8, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 39.8, \"ingresos_mujeres\": 40.4}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.1, \"brecha_ingreso\": -0.2, \"ingresos_hombres\": 25.1, \"ingresos_mujeres\": 25.3}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.0, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 26.0, \"ingresos_mujeres\": 27.4}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.6, \"brecha_ingreso\": 2.2, \"ingresos_hombres\": 32.6, \"ingresos_mujeres\": 30.4}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.8, \"brecha_ingreso\": 0.7, \"ingresos_hombres\": 33.8, \"ingresos_mujeres\": 33.1}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.7, \"brecha_ingreso\": -3.4, \"ingresos_hombres\": 26.7, \"ingresos_mujeres\": 30.1}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.4, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 37.4, \"ingresos_mujeres\": 37.1}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.2, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 38.2, \"ingresos_mujeres\": 38.8}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.8, \"brecha_ingreso\": -3.3, \"ingresos_hombres\": 31.8, \"ingresos_mujeres\": 35.1}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.9, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 34.9, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.3, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 25.3, \"ingresos_mujeres\": 24.8}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.0, \"brecha_ingreso\": 0.1, \"ingresos_hombres\": 26.0, \"ingresos_mujeres\": 25.9}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.0, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 28.0, \"ingresos_mujeres\": 28.3}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.9, \"brecha_ingreso\": -2.4, \"ingresos_hombres\": 26.9, \"ingresos_mujeres\": 29.3}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.1, \"brecha_ingreso\": 0.1, \"ingresos_hombres\": 33.1, \"ingresos_mujeres\": 33.0}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.5, \"brecha_ingreso\": -1.8, \"ingresos_hombres\": 31.5, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.2, \"brecha_ingreso\": 3.5, \"ingresos_hombres\": 39.2, \"ingresos_mujeres\": 35.7}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 44.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.5, \"brecha_ingreso\": 4.4, \"ingresos_hombres\": 48.5, \"ingresos_mujeres\": 44.1}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.9, \"brecha_ingreso\": -1.5, \"ingresos_hombres\": 32.9, \"ingresos_mujeres\": 34.4}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.0, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 38.0, \"ingresos_mujeres\": 38.1}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.0, \"brecha_ingreso\": 5.7, \"ingresos_hombres\": 43.0, \"ingresos_mujeres\": 37.3}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -4.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 19.6, \"brecha_ingreso\": -4.8, \"ingresos_hombres\": 19.6, \"ingresos_mujeres\": 24.4}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.2, \"brecha_ingreso\": 2.6, \"ingresos_hombres\": 39.2, \"ingresos_mujeres\": 36.6}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 46.1, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 46.1, \"ingresos_mujeres\": 45.8}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.4, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 30.4, \"ingresos_mujeres\": 31.0}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.1, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 29.1, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 23.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.8, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 25.8, \"ingresos_mujeres\": 23.8}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.2, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 27.2, \"ingresos_mujeres\": 29.1}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.2, \"brecha_ingreso\": 2.6, \"ingresos_hombres\": 37.2, \"ingresos_mujeres\": 34.6}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.1, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 32.1, \"ingresos_mujeres\": 28.7}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.7, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 31.7, \"ingresos_mujeres\": 30.3}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.8, \"brecha_ingreso\": -0.7, \"ingresos_hombres\": 26.8, \"ingresos_mujeres\": 27.5}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": 1.5, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.8, \"brecha_ingreso\": -2.4, \"ingresos_hombres\": 42.8, \"ingresos_mujeres\": 45.2}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.6, \"brecha_ingreso\": 1.9, \"ingresos_hombres\": 26.6, \"ingresos_mujeres\": 24.7}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.8, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 25.8, \"ingresos_mujeres\": 25.9}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.6, \"brecha_ingreso\": -0.7, \"ingresos_hombres\": 31.6, \"ingresos_mujeres\": 32.3}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.0, \"brecha_ingreso\": -0.8, \"ingresos_hombres\": 35.0, \"ingresos_mujeres\": 35.8}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.0, \"brecha_ingreso\": -2.7, \"ingresos_hombres\": 31.0, \"ingresos_mujeres\": 33.7}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.4, \"brecha_ingreso\": -3.6, \"ingresos_hombres\": 42.4, \"ingresos_mujeres\": 46.0}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.8, \"brecha_ingreso\": 3.3, \"ingresos_hombres\": 39.8, \"ingresos_mujeres\": 36.5}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.9, \"brecha_ingreso\": -3.6, \"ingresos_hombres\": 31.9, \"ingresos_mujeres\": 35.5}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.5, \"brecha_ingreso\": 0.7, \"ingresos_hombres\": 35.5, \"ingresos_mujeres\": 34.8}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.3, \"brecha_ingreso\": 0.6, \"ingresos_hombres\": 27.3, \"ingresos_mujeres\": 26.7}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.1, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 27.1, \"ingresos_mujeres\": 28.4}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.9, \"brecha_ingreso\": 1.2, \"ingresos_hombres\": 31.9, \"ingresos_mujeres\": 30.7}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -5.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.9, \"brecha_ingreso\": -5.7, \"ingresos_hombres\": 30.9, \"ingresos_mujeres\": 36.6}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.6, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 34.6, \"ingresos_mujeres\": 34.1}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.7, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 31.7, \"ingresos_mujeres\": 32.0}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.9, \"brecha_ingreso\": 2.1, \"ingresos_hombres\": 38.9, \"ingresos_mujeres\": 36.8}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 53.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 56.6, \"brecha_ingreso\": 3.1, \"ingresos_hombres\": 56.6, \"ingresos_mujeres\": 53.5}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.4, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 33.4, \"ingresos_mujeres\": 35.3}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.5, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 37.5, \"ingresos_mujeres\": 38.9}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.3, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 40.3, \"ingresos_mujeres\": 39.9}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -5.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 21.1, \"brecha_ingreso\": -5.4, \"ingresos_hombres\": 21.1, \"ingresos_mujeres\": 26.5}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.0, \"brecha_ingreso\": 5.1, \"ingresos_hombres\": 43.0, \"ingresos_mujeres\": 37.9}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 49.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 52.7, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 52.7, \"ingresos_mujeres\": 49.3}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.9, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 32.9, \"ingresos_mujeres\": 33.5}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.0, \"brecha_ingreso\": 0.6, \"ingresos_hombres\": 31.0, \"ingresos_mujeres\": 30.4}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.2, \"brecha_ingreso\": 3.9, \"ingresos_hombres\": 30.2, \"ingresos_mujeres\": 26.3}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.4, \"brecha_ingreso\": -1.5, \"ingresos_hombres\": 29.4, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.3, \"brecha_ingreso\": 3.9, \"ingresos_hombres\": 38.3, \"ingresos_mujeres\": 34.4}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.8, \"brecha_ingreso\": 0.2, \"ingresos_hombres\": 30.8, \"ingresos_mujeres\": 30.6}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.4, \"brecha_ingreso\": 2.3, \"ingresos_hombres\": 33.4, \"ingresos_mujeres\": 31.1}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.5, \"brecha_ingreso\": 0.0, \"ingresos_hombres\": 25.5, \"ingresos_mujeres\": 25.5}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 36.5, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 36.5, \"ingresos_mujeres\": 33.1}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 44.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 44.7, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 44.7, \"ingresos_mujeres\": 44.8}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.4, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 25.4, \"ingresos_mujeres\": 26.7}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.1, \"brecha_ingreso\": 2.2, \"ingresos_hombres\": 27.1, \"ingresos_mujeres\": 24.9}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.8, \"brecha_ingreso\": 3.0, \"ingresos_hombres\": 33.8, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.1, \"brecha_ingreso\": -0.2, \"ingresos_hombres\": 39.1, \"ingresos_mujeres\": 39.3}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.7, \"brecha_ingreso\": -2.6, \"ingresos_hombres\": 29.7, \"ingresos_mujeres\": 32.3}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.7, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 40.7, \"ingresos_mujeres\": 38.7}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.2, \"brecha_ingreso\": 0.6, \"ingresos_hombres\": 41.2, \"ingresos_mujeres\": 40.6}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.9, \"brecha_ingreso\": -3.9, \"ingresos_hombres\": 29.9, \"ingresos_mujeres\": 33.8}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.5, \"brecha_ingreso\": 3.0, \"ingresos_hombres\": 38.5, \"ingresos_mujeres\": 35.5}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.1, \"brecha_ingreso\": 3.0, \"ingresos_hombres\": 29.1, \"ingresos_mujeres\": 26.1}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.5, \"brecha_ingreso\": 0.9, \"ingresos_hombres\": 30.5, \"ingresos_mujeres\": 29.6}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.5, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 32.5, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -4.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.2, \"brecha_ingreso\": -4.5, \"ingresos_hombres\": 30.2, \"ingresos_mujeres\": 34.7}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.7, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 35.7, \"ingresos_mujeres\": 35.3}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.9, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 32.9, \"ingresos_mujeres\": 34.2}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.4, \"brecha_ingreso\": 1.8, \"ingresos_hombres\": 41.4, \"ingresos_mujeres\": 39.6}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 51.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 53.2, \"brecha_ingreso\": 1.3, \"ingresos_hombres\": 53.2, \"ingresos_mujeres\": 51.9}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 36.2}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.7, \"brecha_ingreso\": 1.5, \"ingresos_hombres\": 41.7, \"ingresos_mujeres\": 40.2}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.0, \"brecha_ingreso\": 5.3, \"ingresos_hombres\": 45.0, \"ingresos_mujeres\": 39.7}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -7.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 21.2, \"brecha_ingreso\": -7.3, \"ingresos_hombres\": 21.2, \"ingresos_mujeres\": 28.5}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 7.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.4, \"brecha_ingreso\": 7.6, \"ingresos_hombres\": 48.4, \"ingresos_mujeres\": 40.8}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 43.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 44.6, \"brecha_ingreso\": 0.9, \"ingresos_hombres\": 44.6, \"ingresos_mujeres\": 43.7}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.8, \"brecha_ingreso\": -1.8, \"ingresos_hombres\": 32.8, \"ingresos_mujeres\": 34.6}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.5, \"brecha_ingreso\": 1.1, \"ingresos_hombres\": 33.5, \"ingresos_mujeres\": 32.4}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.9, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 28.9, \"ingresos_mujeres\": 28.6}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.4, \"brecha_ingreso\": 1.9, \"ingresos_hombres\": 31.4, \"ingresos_mujeres\": 29.5}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.0, \"brecha_ingreso\": 4.6, \"ingresos_hombres\": 41.0, \"ingresos_mujeres\": 36.4}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.5, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 31.5, \"ingresos_mujeres\": 31.8}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 36.1, \"brecha_ingreso\": 4.0, \"ingresos_hombres\": 36.1, \"ingresos_mujeres\": 32.1}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.6, \"brecha_ingreso\": 2.8, \"ingresos_hombres\": 28.6, \"ingresos_mujeres\": 25.8}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.9, \"brecha_ingreso\": 2.2, \"ingresos_hombres\": 39.9, \"ingresos_mujeres\": 37.7}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.9, \"brecha_ingreso\": 0.8, \"ingresos_hombres\": 45.9, \"ingresos_mujeres\": 45.1}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.4, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 29.4, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.8, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 27.8, \"ingresos_mujeres\": 26.4}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.0, \"brecha_ingreso\": 2.8, \"ingresos_hombres\": 38.0, \"ingresos_mujeres\": 35.2}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.4, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 40.4, \"ingresos_mujeres\": 38.4}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.9, \"brecha_ingreso\": -2.0, \"ingresos_hombres\": 33.9, \"ingresos_mujeres\": 35.9}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.5, \"brecha_ingreso\": 1.7, \"ingresos_hombres\": 41.5, \"ingresos_mujeres\": 39.8}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 43.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.5, \"brecha_ingreso\": -1.2, \"ingresos_hombres\": 42.5, \"ingresos_mujeres\": 43.7}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.5, \"brecha_ingreso\": -3.7, \"ingresos_hombres\": 32.5, \"ingresos_mujeres\": 36.2}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.3, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 39.3, \"ingresos_mujeres\": 40.6}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.3, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 29.3, \"ingresos_mujeres\": 27.7}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.3, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 29.3, \"ingresos_mujeres\": 29.4}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.5, \"brecha_ingreso\": 1.1, \"ingresos_hombres\": 34.5, \"ingresos_mujeres\": 33.4}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.8, \"brecha_ingreso\": -2.5, \"ingresos_hombres\": 31.8, \"ingresos_mujeres\": 34.3}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.8, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 37.8, \"ingresos_mujeres\": 37.5}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.2, \"brecha_ingreso\": -2.8, \"ingresos_hombres\": 33.2, \"ingresos_mujeres\": 36.0}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 44.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.5, \"brecha_ingreso\": 0.7, \"ingresos_hombres\": 45.5, \"ingresos_mujeres\": 44.8}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 55.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 56.8, \"brecha_ingreso\": 1.3, \"ingresos_hombres\": 56.8, \"ingresos_mujeres\": 55.5}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.7, \"brecha_ingreso\": -1.0, \"ingresos_hombres\": 33.7, \"ingresos_mujeres\": 34.7}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 42.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.3, \"brecha_ingreso\": 0.9, \"ingresos_hombres\": 43.3, \"ingresos_mujeres\": 42.4}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 47.6, \"brecha_ingreso\": 1.3, \"ingresos_hombres\": 47.6, \"ingresos_mujeres\": 46.3}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -7.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 23.9, \"brecha_ingreso\": -7.1, \"ingresos_hombres\": 23.9, \"ingresos_mujeres\": 31.0}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.6, \"brecha_ingreso\": -3.1, \"ingresos_hombres\": 43.6, \"ingresos_mujeres\": 46.7}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.3, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 48.3, \"ingresos_mujeres\": 46.9}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.5, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 35.5, \"ingresos_mujeres\": 36.1}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.0, \"brecha_ingreso\": 4.0, \"ingresos_hombres\": 37.0, \"ingresos_mujeres\": 33.0}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": 4.0, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 35.1}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 6.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.3, \"brecha_ingreso\": 6.3, \"ingresos_hombres\": 45.3, \"ingresos_mujeres\": 39.0}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.5, \"brecha_ingreso\": 1.0, \"ingresos_hombres\": 33.5, \"ingresos_mujeres\": 32.5}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.7, \"brecha_ingreso\": 3.8, \"ingresos_hombres\": 38.7, \"ingresos_mujeres\": 34.9}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.7, \"brecha_ingreso\": 0.0, \"ingresos_hombres\": 27.7, \"ingresos_mujeres\": 27.7}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.7, \"brecha_ingreso\": 4.6, \"ingresos_hombres\": 43.7, \"ingresos_mujeres\": 39.1}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 48.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.6, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 48.6, \"ingresos_mujeres\": 48.1}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.4, \"brecha_ingreso\": 1.8, \"ingresos_hombres\": 29.4, \"ingresos_mujeres\": 27.6}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.1, \"brecha_ingreso\": 2.1, \"ingresos_hombres\": 32.1, \"ingresos_mujeres\": 30.0}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.8, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 41.8, \"ingresos_mujeres\": 38.4}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 42.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.8, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 42.8, \"ingresos_mujeres\": 42.5}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.6, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 37.6, \"ingresos_mujeres\": 39.5}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 42.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.4, \"brecha_ingreso\": 1.0, \"ingresos_hombres\": 43.4, \"ingresos_mujeres\": 42.4}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 48.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 46.5, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 46.5, \"ingresos_mujeres\": 48.2}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -5.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.0, \"brecha_ingreso\": -5.0, \"ingresos_hombres\": 32.0, \"ingresos_mujeres\": 37.0}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.4, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 40.4, \"ingresos_mujeres\": 40.7}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.6, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 29.6, \"ingresos_mujeres\": 28.2}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.9, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 28.9, \"ingresos_mujeres\": 29.5}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.7, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 37.7, \"ingresos_mujeres\": 37.3}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.1, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 34.1, \"ingresos_mujeres\": 35.8}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JqUX7v6ZyRNB"
      },
      "source": [
        "![visualization (1).png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HyLWU7nOj1LU"
      },
      "source": [
        ">Con la gráfica anterior nos queda más claro lo lejos que estamos del cero"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4PYN1p2Ch41Z",
        "outputId": "d7c9baef-abe9-4f13-f279-cc617b6fa092",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        }
      },
      "source": [
        "#Gráfica del promedio de ingresos de hombres y mujeres\n",
        "\n",
        "titulo_grafico2 = \"Ingresos promedio de hombres y mujeres\"\n",
        "grafM=alt.Chart(datos).mark_bar(color = 'pink', fillOpacity=.5).encode(\n",
        "    x = alt.X(\"entidad_federativa:N\", title=\"Entidad Federativa\"),\n",
        "    y = alt.Y(\"mean(ingresos_mujeres):Q\", title = \"Ingresos promedio por hora\")\n",
        ").properties(\n",
        "    title = titulo_grafico2,\n",
        "    width = 750,\n",
        "    height = 300\n",
        ")\n",
        "\n",
        "grafH=alt.Chart(datos).mark_bar(color = 'blue', fillOpacity=.3).encode(\n",
        "    x = alt.X(\"entidad_federativa:N\", title=\"Entidad Federativa\"),\n",
        "    y = alt.Y(\"mean(ingresos_hombres):Q\", title = \"Ingresos promedio por hora\")\n",
        ").properties(\n",
        "    title = titulo_grafico2,\n",
        "    width = 750,\n",
        "    height = 300\n",
        ")\n",
        "\n",
        "grafica2 = grafH + grafM\n",
        "grafica2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alt.LayerChart(...)"
            ],
            "text/html": [
              "\n",
              "<div id=\"altair-viz-66e2f25e75964a2c85071fcf60fe56e2\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-66e2f25e75964a2c85071fcf60fe56e2\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-66e2f25e75964a2c85071fcf60fe56e2\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function loadScript(lib) {\n",
              "      return new Promise(function(resolve, reject) {\n",
              "        var s = document.createElement('script');\n",
              "        s.src = paths[lib];\n",
              "        s.async = true;\n",
              "        s.onload = () => resolve(paths[lib]);\n",
              "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "      });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else if (typeof vegaEmbed === \"function\") {\n",
              "      displayChart(vegaEmbed);\n",
              "    } else {\n",
              "      loadScript(\"vega\")\n",
              "        .then(() => loadScript(\"vega-lite\"))\n",
              "        .then(() => loadScript(\"vega-embed\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"bar\", \"color\": \"blue\", \"fillOpacity\": 0.3}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"ingresos_hombres\", \"title\": \"Ingresos promedio por hora\"}}, \"height\": 300, \"title\": \"Ingresos promedio de hombres y mujeres\", \"width\": 750}, {\"mark\": {\"type\": \"bar\", \"color\": \"pink\", \"fillOpacity\": 0.5}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"ingresos_mujeres\", \"title\": \"Ingresos promedio por hora\"}}, \"height\": 300, \"title\": \"Ingresos promedio de hombres y mujeres\", \"width\": 750}], \"data\": {\"name\": \"data-d5c368184532cfc834abe4bc8ec5fad9\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-d5c368184532cfc834abe4bc8ec5fad9\": [{\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.8, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 30.8, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.8, \"brecha_ingreso\": -1.6, \"ingresos_hombres\": 27.8, \"ingresos_mujeres\": 29.4}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.8, \"brecha_ingreso\": 2.5, \"ingresos_hombres\": 35.8, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 50.0, \"brecha_ingreso\": 4.7, \"ingresos_hombres\": 50.0, \"ingresos_mujeres\": 45.3}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.1, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 32.1, \"ingresos_mujeres\": 33.8}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.2, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 37.2, \"ingresos_mujeres\": 35.2}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.3, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 39.3, \"ingresos_mujeres\": 37.3}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -6.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 17.9, \"brecha_ingreso\": -6.1, \"ingresos_hombres\": 17.9, \"ingresos_mujeres\": 24.0}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 36.6, \"brecha_ingreso\": 5.0, \"ingresos_hombres\": 36.6, \"ingresos_mujeres\": 31.6}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.2, \"brecha_ingreso\": -0.7, \"ingresos_hombres\": 39.2, \"ingresos_mujeres\": 39.9}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.9, \"brecha_ingreso\": -0.4, \"ingresos_hombres\": 27.9, \"ingresos_mujeres\": 28.3}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.0, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 29.0, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.7, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 25.7, \"ingresos_mujeres\": 25.3}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.9, \"brecha_ingreso\": -1.2, \"ingresos_hombres\": 26.9, \"ingresos_mujeres\": 28.1}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.6, \"brecha_ingreso\": 3.1, \"ingresos_hombres\": 34.6, \"ingresos_mujeres\": 31.5}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.2, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 27.2, \"ingresos_mujeres\": 25.6}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.3, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 30.3, \"ingresos_mujeres\": 28.9}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.2, \"brecha_ingreso\": 2.5, \"ingresos_hombres\": 27.2, \"ingresos_mujeres\": 24.7}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.0, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 34.0, \"ingresos_mujeres\": 33.5}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.8, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 39.8, \"ingresos_mujeres\": 40.4}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.1, \"brecha_ingreso\": -0.2, \"ingresos_hombres\": 25.1, \"ingresos_mujeres\": 25.3}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.0, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 26.0, \"ingresos_mujeres\": 27.4}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.6, \"brecha_ingreso\": 2.2, \"ingresos_hombres\": 32.6, \"ingresos_mujeres\": 30.4}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.8, \"brecha_ingreso\": 0.7, \"ingresos_hombres\": 33.8, \"ingresos_mujeres\": 33.1}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.7, \"brecha_ingreso\": -3.4, \"ingresos_hombres\": 26.7, \"ingresos_mujeres\": 30.1}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.4, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 37.4, \"ingresos_mujeres\": 37.1}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.2, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 38.2, \"ingresos_mujeres\": 38.8}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.8, \"brecha_ingreso\": -3.3, \"ingresos_hombres\": 31.8, \"ingresos_mujeres\": 35.1}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.9, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 34.9, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.3, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 25.3, \"ingresos_mujeres\": 24.8}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.0, \"brecha_ingreso\": 0.1, \"ingresos_hombres\": 26.0, \"ingresos_mujeres\": 25.9}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.0, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 28.0, \"ingresos_mujeres\": 28.3}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2014, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.9, \"brecha_ingreso\": -2.4, \"ingresos_hombres\": 26.9, \"ingresos_mujeres\": 29.3}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.1, \"brecha_ingreso\": 0.1, \"ingresos_hombres\": 33.1, \"ingresos_mujeres\": 33.0}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.5, \"brecha_ingreso\": -1.8, \"ingresos_hombres\": 31.5, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.2, \"brecha_ingreso\": 3.5, \"ingresos_hombres\": 39.2, \"ingresos_mujeres\": 35.7}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 44.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.5, \"brecha_ingreso\": 4.4, \"ingresos_hombres\": 48.5, \"ingresos_mujeres\": 44.1}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.9, \"brecha_ingreso\": -1.5, \"ingresos_hombres\": 32.9, \"ingresos_mujeres\": 34.4}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.0, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 38.0, \"ingresos_mujeres\": 38.1}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.0, \"brecha_ingreso\": 5.7, \"ingresos_hombres\": 43.0, \"ingresos_mujeres\": 37.3}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -4.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 19.6, \"brecha_ingreso\": -4.8, \"ingresos_hombres\": 19.6, \"ingresos_mujeres\": 24.4}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.2, \"brecha_ingreso\": 2.6, \"ingresos_hombres\": 39.2, \"ingresos_mujeres\": 36.6}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 46.1, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 46.1, \"ingresos_mujeres\": 45.8}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.4, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 30.4, \"ingresos_mujeres\": 31.0}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.1, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 29.1, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 23.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.8, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 25.8, \"ingresos_mujeres\": 23.8}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.2, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 27.2, \"ingresos_mujeres\": 29.1}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.2, \"brecha_ingreso\": 2.6, \"ingresos_hombres\": 37.2, \"ingresos_mujeres\": 34.6}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.1, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 32.1, \"ingresos_mujeres\": 28.7}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.7, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 31.7, \"ingresos_mujeres\": 30.3}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.8, \"brecha_ingreso\": -0.7, \"ingresos_hombres\": 26.8, \"ingresos_mujeres\": 27.5}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": 1.5, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 33.3}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.8, \"brecha_ingreso\": -2.4, \"ingresos_hombres\": 42.8, \"ingresos_mujeres\": 45.2}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 26.6, \"brecha_ingreso\": 1.9, \"ingresos_hombres\": 26.6, \"ingresos_mujeres\": 24.7}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.8, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 25.8, \"ingresos_mujeres\": 25.9}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.6, \"brecha_ingreso\": -0.7, \"ingresos_hombres\": 31.6, \"ingresos_mujeres\": 32.3}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.0, \"brecha_ingreso\": -0.8, \"ingresos_hombres\": 35.0, \"ingresos_mujeres\": 35.8}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.0, \"brecha_ingreso\": -2.7, \"ingresos_hombres\": 31.0, \"ingresos_mujeres\": 33.7}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.4, \"brecha_ingreso\": -3.6, \"ingresos_hombres\": 42.4, \"ingresos_mujeres\": 46.0}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.8, \"brecha_ingreso\": 3.3, \"ingresos_hombres\": 39.8, \"ingresos_mujeres\": 36.5}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.9, \"brecha_ingreso\": -3.6, \"ingresos_hombres\": 31.9, \"ingresos_mujeres\": 35.5}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.5, \"brecha_ingreso\": 0.7, \"ingresos_hombres\": 35.5, \"ingresos_mujeres\": 34.8}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.3, \"brecha_ingreso\": 0.6, \"ingresos_hombres\": 27.3, \"ingresos_mujeres\": 26.7}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.1, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 27.1, \"ingresos_mujeres\": 28.4}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.9, \"brecha_ingreso\": 1.2, \"ingresos_hombres\": 31.9, \"ingresos_mujeres\": 30.7}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2015, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -5.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.9, \"brecha_ingreso\": -5.7, \"ingresos_hombres\": 30.9, \"ingresos_mujeres\": 36.6}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.6, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 34.6, \"ingresos_mujeres\": 34.1}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.7, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 31.7, \"ingresos_mujeres\": 32.0}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.9, \"brecha_ingreso\": 2.1, \"ingresos_hombres\": 38.9, \"ingresos_mujeres\": 36.8}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 53.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 56.6, \"brecha_ingreso\": 3.1, \"ingresos_hombres\": 56.6, \"ingresos_mujeres\": 53.5}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.4, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 33.4, \"ingresos_mujeres\": 35.3}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.5, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 37.5, \"ingresos_mujeres\": 38.9}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.3, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 40.3, \"ingresos_mujeres\": 39.9}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -5.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 21.1, \"brecha_ingreso\": -5.4, \"ingresos_hombres\": 21.1, \"ingresos_mujeres\": 26.5}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.0, \"brecha_ingreso\": 5.1, \"ingresos_hombres\": 43.0, \"ingresos_mujeres\": 37.9}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 49.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 52.7, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 52.7, \"ingresos_mujeres\": 49.3}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.9, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 32.9, \"ingresos_mujeres\": 33.5}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.0, \"brecha_ingreso\": 0.6, \"ingresos_hombres\": 31.0, \"ingresos_mujeres\": 30.4}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.2, \"brecha_ingreso\": 3.9, \"ingresos_hombres\": 30.2, \"ingresos_mujeres\": 26.3}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.4, \"brecha_ingreso\": -1.5, \"ingresos_hombres\": 29.4, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.3, \"brecha_ingreso\": 3.9, \"ingresos_hombres\": 38.3, \"ingresos_mujeres\": 34.4}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.8, \"brecha_ingreso\": 0.2, \"ingresos_hombres\": 30.8, \"ingresos_mujeres\": 30.6}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.4, \"brecha_ingreso\": 2.3, \"ingresos_hombres\": 33.4, \"ingresos_mujeres\": 31.1}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.5, \"brecha_ingreso\": 0.0, \"ingresos_hombres\": 25.5, \"ingresos_mujeres\": 25.5}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 36.5, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 36.5, \"ingresos_mujeres\": 33.1}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 44.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 44.7, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 44.7, \"ingresos_mujeres\": 44.8}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 25.4, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 25.4, \"ingresos_mujeres\": 26.7}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 24.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.1, \"brecha_ingreso\": 2.2, \"ingresos_hombres\": 27.1, \"ingresos_mujeres\": 24.9}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.8, \"brecha_ingreso\": 3.0, \"ingresos_hombres\": 33.8, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.1, \"brecha_ingreso\": -0.2, \"ingresos_hombres\": 39.1, \"ingresos_mujeres\": 39.3}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.7, \"brecha_ingreso\": -2.6, \"ingresos_hombres\": 29.7, \"ingresos_mujeres\": 32.3}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.7, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 40.7, \"ingresos_mujeres\": 38.7}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.2, \"brecha_ingreso\": 0.6, \"ingresos_hombres\": 41.2, \"ingresos_mujeres\": 40.6}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.9, \"brecha_ingreso\": -3.9, \"ingresos_hombres\": 29.9, \"ingresos_mujeres\": 33.8}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.5, \"brecha_ingreso\": 3.0, \"ingresos_hombres\": 38.5, \"ingresos_mujeres\": 35.5}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.1, \"brecha_ingreso\": 3.0, \"ingresos_hombres\": 29.1, \"ingresos_mujeres\": 26.1}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.5, \"brecha_ingreso\": 0.9, \"ingresos_hombres\": 30.5, \"ingresos_mujeres\": 29.6}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.5, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 32.5, \"ingresos_mujeres\": 30.9}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2016, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -4.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 30.2, \"brecha_ingreso\": -4.5, \"ingresos_hombres\": 30.2, \"ingresos_mujeres\": 34.7}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.7, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 35.7, \"ingresos_mujeres\": 35.3}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.9, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 32.9, \"ingresos_mujeres\": 34.2}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.4, \"brecha_ingreso\": 1.8, \"ingresos_hombres\": 41.4, \"ingresos_mujeres\": 39.6}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 51.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 53.2, \"brecha_ingreso\": 1.3, \"ingresos_hombres\": 53.2, \"ingresos_mujeres\": 51.9}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 36.2}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.7, \"brecha_ingreso\": 1.5, \"ingresos_hombres\": 41.7, \"ingresos_mujeres\": 40.2}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 5.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.0, \"brecha_ingreso\": 5.3, \"ingresos_hombres\": 45.0, \"ingresos_mujeres\": 39.7}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -7.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 21.2, \"brecha_ingreso\": -7.3, \"ingresos_hombres\": 21.2, \"ingresos_mujeres\": 28.5}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 7.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.4, \"brecha_ingreso\": 7.6, \"ingresos_hombres\": 48.4, \"ingresos_mujeres\": 40.8}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 43.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 44.6, \"brecha_ingreso\": 0.9, \"ingresos_hombres\": 44.6, \"ingresos_mujeres\": 43.7}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.8, \"brecha_ingreso\": -1.8, \"ingresos_hombres\": 32.8, \"ingresos_mujeres\": 34.6}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.5, \"brecha_ingreso\": 1.1, \"ingresos_hombres\": 33.5, \"ingresos_mujeres\": 32.4}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.9, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 28.9, \"ingresos_mujeres\": 28.6}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.4, \"brecha_ingreso\": 1.9, \"ingresos_hombres\": 31.4, \"ingresos_mujeres\": 29.5}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.0, \"brecha_ingreso\": 4.6, \"ingresos_hombres\": 41.0, \"ingresos_mujeres\": 36.4}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.5, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 31.5, \"ingresos_mujeres\": 31.8}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 36.1, \"brecha_ingreso\": 4.0, \"ingresos_hombres\": 36.1, \"ingresos_mujeres\": 32.1}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 25.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.6, \"brecha_ingreso\": 2.8, \"ingresos_hombres\": 28.6, \"ingresos_mujeres\": 25.8}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.9, \"brecha_ingreso\": 2.2, \"ingresos_hombres\": 39.9, \"ingresos_mujeres\": 37.7}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 45.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.9, \"brecha_ingreso\": 0.8, \"ingresos_hombres\": 45.9, \"ingresos_mujeres\": 45.1}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.4, \"brecha_ingreso\": -1.4, \"ingresos_hombres\": 29.4, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 26.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.8, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 27.8, \"ingresos_mujeres\": 26.4}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.0, \"brecha_ingreso\": 2.8, \"ingresos_hombres\": 38.0, \"ingresos_mujeres\": 35.2}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.4, \"brecha_ingreso\": 2.0, \"ingresos_hombres\": 40.4, \"ingresos_mujeres\": 38.4}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.9, \"brecha_ingreso\": -2.0, \"ingresos_hombres\": 33.9, \"ingresos_mujeres\": 35.9}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.5, \"brecha_ingreso\": 1.7, \"ingresos_hombres\": 41.5, \"ingresos_mujeres\": 39.8}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 43.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.5, \"brecha_ingreso\": -1.2, \"ingresos_hombres\": 42.5, \"ingresos_mujeres\": 43.7}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.5, \"brecha_ingreso\": -3.7, \"ingresos_hombres\": 32.5, \"ingresos_mujeres\": 36.2}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 39.3, \"brecha_ingreso\": -1.3, \"ingresos_hombres\": 39.3, \"ingresos_mujeres\": 40.6}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.3, \"brecha_ingreso\": 1.6, \"ingresos_hombres\": 29.3, \"ingresos_mujeres\": 27.7}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.3, \"brecha_ingreso\": -0.1, \"ingresos_hombres\": 29.3, \"ingresos_mujeres\": 29.4}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.5, \"brecha_ingreso\": 1.1, \"ingresos_hombres\": 34.5, \"ingresos_mujeres\": 33.4}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2017, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 31.8, \"brecha_ingreso\": -2.5, \"ingresos_hombres\": 31.8, \"ingresos_mujeres\": 34.3}, {\"entidad_federativa\": \"Estados Unidos Mexicanos\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.8, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 37.8, \"ingresos_mujeres\": 37.5}, {\"entidad_federativa\": \"Aguascalientes\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -2.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.2, \"brecha_ingreso\": -2.8, \"ingresos_hombres\": 33.2, \"ingresos_mujeres\": 36.0}, {\"entidad_federativa\": \"Baja California\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 44.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.5, \"brecha_ingreso\": 0.7, \"ingresos_hombres\": 45.5, \"ingresos_mujeres\": 44.8}, {\"entidad_federativa\": \"Baja California Sur\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 55.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 56.8, \"brecha_ingreso\": 1.3, \"ingresos_hombres\": 56.8, \"ingresos_mujeres\": 55.5}, {\"entidad_federativa\": \"Campeche\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.7, \"brecha_ingreso\": -1.0, \"ingresos_hombres\": 33.7, \"ingresos_mujeres\": 34.7}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 42.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.3, \"brecha_ingreso\": 0.9, \"ingresos_hombres\": 43.3, \"ingresos_mujeres\": 42.4}, {\"entidad_federativa\": \"Colima\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 47.6, \"brecha_ingreso\": 1.3, \"ingresos_hombres\": 47.6, \"ingresos_mujeres\": 46.3}, {\"entidad_federativa\": \"Chiapas\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -7.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 31.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 23.9, \"brecha_ingreso\": -7.1, \"ingresos_hombres\": 23.9, \"ingresos_mujeres\": 31.0}, {\"entidad_federativa\": \"Chihuahua\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -3.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.6, \"brecha_ingreso\": -3.1, \"ingresos_hombres\": 43.6, \"ingresos_mujeres\": 46.7}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 46.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.3, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 48.3, \"ingresos_mujeres\": 46.9}, {\"entidad_federativa\": \"Durango\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 36.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 35.5, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 35.5, \"ingresos_mujeres\": 36.1}, {\"entidad_federativa\": \"Guanajuato\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 33.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.0, \"brecha_ingreso\": 4.0, \"ingresos_hombres\": 37.0, \"ingresos_mujeres\": 33.0}, {\"entidad_federativa\": \"Guerrero\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": 4.0, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 30.8}, {\"entidad_federativa\": \"Hidalgo\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.8, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 34.8, \"ingresos_mujeres\": 35.1}, {\"entidad_federativa\": \"Jalisco\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 6.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 45.3, \"brecha_ingreso\": 6.3, \"ingresos_hombres\": 45.3, \"ingresos_mujeres\": 39.0}, {\"entidad_federativa\": \"M\\u00e9xico\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 32.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 33.5, \"brecha_ingreso\": 1.0, \"ingresos_hombres\": 33.5, \"ingresos_mujeres\": 32.5}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 34.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 38.7, \"brecha_ingreso\": 3.8, \"ingresos_hombres\": 38.7, \"ingresos_mujeres\": 34.9}, {\"entidad_federativa\": \"Morelos\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 27.7, \"brecha_ingreso\": 0.0, \"ingresos_hombres\": 27.7, \"ingresos_mujeres\": 27.7}, {\"entidad_federativa\": \"Nayarit\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 4.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.7, \"brecha_ingreso\": 4.6, \"ingresos_hombres\": 43.7, \"ingresos_mujeres\": 39.1}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 48.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 48.6, \"brecha_ingreso\": 0.5, \"ingresos_hombres\": 48.6, \"ingresos_mujeres\": 48.1}, {\"entidad_federativa\": \"Oaxaca\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 27.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.4, \"brecha_ingreso\": 1.8, \"ingresos_hombres\": 29.4, \"ingresos_mujeres\": 27.6}, {\"entidad_federativa\": \"Puebla\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 2.1, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 30.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.1, \"brecha_ingreso\": 2.1, \"ingresos_hombres\": 32.1, \"ingresos_mujeres\": 30.0}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 3.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 38.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 41.8, \"brecha_ingreso\": 3.4, \"ingresos_hombres\": 41.8, \"ingresos_mujeres\": 38.4}, {\"entidad_federativa\": \"Quintana Roo\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 42.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 42.8, \"brecha_ingreso\": 0.3, \"ingresos_hombres\": 42.8, \"ingresos_mujeres\": 42.5}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.9, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 39.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.6, \"brecha_ingreso\": -1.9, \"ingresos_hombres\": 37.6, \"ingresos_mujeres\": 39.5}, {\"entidad_federativa\": \"Sinaloa\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 42.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 43.4, \"brecha_ingreso\": 1.0, \"ingresos_hombres\": 43.4, \"ingresos_mujeres\": 42.4}, {\"entidad_federativa\": \"Sonora\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 48.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 46.5, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 46.5, \"ingresos_mujeres\": 48.2}, {\"entidad_federativa\": \"Tabasco\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -5.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.0, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 32.0, \"brecha_ingreso\": -5.0, \"ingresos_hombres\": 32.0, \"ingresos_mujeres\": 37.0}, {\"entidad_federativa\": \"Tamaulipas\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 40.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 40.4, \"brecha_ingreso\": -0.3, \"ingresos_hombres\": 40.4, \"ingresos_mujeres\": 40.7}, {\"entidad_federativa\": \"Tlaxcala\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 1.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 28.2, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 29.6, \"brecha_ingreso\": 1.4, \"ingresos_hombres\": 29.6, \"ingresos_mujeres\": 28.2}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -0.6, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 29.5, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 28.9, \"brecha_ingreso\": -0.6, \"ingresos_hombres\": 28.9, \"ingresos_mujeres\": 29.5}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": 0.4, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 37.3, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 37.7, \"brecha_ingreso\": 0.4, \"ingresos_hombres\": 37.7, \"ingresos_mujeres\": 37.3}, {\"entidad_federativa\": \"Zacatecas\", \"periodo\": 2018, \"trimestre\": 4, \"brecha_en_el_ingreso_entre_hombres_y_mujeres\": -1.7, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_mujeres\": 35.8, \"ingreso_promedio_por_hora_trabajada_de_la_poblaci\\u00f3n_ocupada_de_hombres\": 34.1, \"brecha_ingreso\": -1.7, \"ingresos_hombres\": 34.1, \"ingresos_mujeres\": 35.8}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 149
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f8GnQarnyXwc"
      },
      "source": [
        "![visualization (3).png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ube2H0i9hsIa"
      },
      "source": [
        ">Idealmente, estas gráficas debieran ser moradas en su totalidas, sin embargo, es notorio como la mayor parte tiene puntas azules, aún así existen otras barras con puntas rosadas"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mUvJLrEXnu3X"
      },
      "source": [
        "Hasta ahora, simplemente identificamos lugares donde hombres o mujeres ganan más, pero a la hora de conseguir un trabajo importan también las oportunidades de prestaciones."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bUhmsPGOXexY"
      },
      "source": [
        "## Set con información sobre prestaciones laborales\n",
        "El otro documento csv del que se obtuvo información pertenece igualmente al INEGI y nos ayudará a complementar la información obtenida anteriormente."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZwnBZj12Xd_Z",
        "outputId": "22866d10-88b2-4d1e-f382-981e0f89cfae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        }
      },
      "source": [
        "!wget https://www.inegi.org.mx/contenidos/datosgob/tdr03_muj_ocup_prest_lab.csv\n",
        "nom_archivo = '/content/tdr03_muj_ocup_prest_lab.csv'\n",
        "\n",
        "prestaciones = pd.read_csv(nom_archivo, encoding='latin-1')\n",
        "prestaciones.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-10-03 04:41:01--  https://www.inegi.org.mx/contenidos/datosgob/tdr03_muj_ocup_prest_lab.csv\n",
            "Resolving www.inegi.org.mx (www.inegi.org.mx)... 200.33.109.5, 200.23.8.5\n",
            "Connecting to www.inegi.org.mx (www.inegi.org.mx)|200.33.109.5|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 12019 (12K) [application/octet-stream]\n",
            "Saving to: ‘tdr03_muj_ocup_prest_lab.csv.2’\n",
            "\n",
            "tdr03_muj_ocup_pres 100%[===================>]  11.74K  --.-KB/s    in 0s      \n",
            "\n",
            "2020-10-03 04:41:02 (116 MB/s) - ‘tdr03_muj_ocup_prest_lab.csv.2’ saved [12019/12019]\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Entidad federativa</th>\n",
              "      <th>Año</th>\n",
              "      <th>Trimestre</th>\n",
              "      <th>Porcentaje de mujeres ocupadas con prestaciones laborales</th>\n",
              "      <th>Población femenina Ocupada. Total</th>\n",
              "      <th>Población femenina Ocupada con prestaciones laborales. Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Estados Unidos Mexicanos</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>42.94</td>\n",
              "      <td>17143259</td>\n",
              "      <td>7361181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aguascalientes</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>54.17</td>\n",
              "      <td>175816</td>\n",
              "      <td>95248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Baja California</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>56.99</td>\n",
              "      <td>512743</td>\n",
              "      <td>292225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Baja California Sur</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>51.94</td>\n",
              "      <td>110071</td>\n",
              "      <td>57173</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Campeche</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>42.28</td>\n",
              "      <td>128589</td>\n",
              "      <td>54361</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Entidad federativa  ...  Población femenina Ocupada con prestaciones laborales. Total\n",
              "0  Estados Unidos Mexicanos  ...                                            7361181           \n",
              "1            Aguascalientes  ...                                              95248           \n",
              "2           Baja California  ...                                             292225           \n",
              "3       Baja California Sur  ...                                              57173           \n",
              "4                  Campeche  ...                                              54361           \n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P-hSQVCDk6XW"
      },
      "source": [
        "###Perfilamiento y limpieza"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L1YqDU0WYl_y",
        "outputId": "d536e93f-574a-40cc-9587-d7c48063e583",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        }
      },
      "source": [
        "print('Número de filas: {}'.format(prestaciones.shape[0]))\n",
        "print('Número de columnas: {}'.format(prestaciones.shape[1]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Número de filas: 297\n",
            "Número de columnas: 6\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MD53T7NzY-zR",
        "outputId": "e44451d0-6a09-4d3d-8b11-7340f53eeb7a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        }
      },
      "source": [
        "#Columnas\n",
        "prestaciones.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Entidad federativa', 'Año', 'Trimestre',\n",
              "       'Porcentaje de mujeres ocupadas con prestaciones laborales',\n",
              "       'Población femenina Ocupada. Total',\n",
              "       'Población femenina Ocupada con prestaciones laborales. Total'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 152
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k3Dfb9WIZI3_",
        "outputId": "a97de16a-5e7d-4944-a4b5-acc6cc62b0a5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        }
      },
      "source": [
        "##Limpieza de los datos\n",
        "prestaciones.columns = prestaciones.columns.str.replace(' ', '_')\n",
        "prestaciones.columns = prestaciones.columns.str.replace('ó', 'o')\n",
        "prestaciones.columns = prestaciones.columns.str.replace('.', '')\n",
        "prestaciones.columns = prestaciones.columns.str.replace('ñ','n')\n",
        "prestaciones.columns = prestaciones.columns.str.lower()\n",
        "prestaciones.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['entidad_federativa', 'ano', 'trimestre',\n",
              "       'porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales',\n",
              "       'poblacion_femenina_ocupada_total',\n",
              "       'poblacion_femenina_ocupada_con_prestaciones_laborales_total'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dkGMNGzAZOyI",
        "outputId": "470587f7-e924-4877-a07c-8b24bd818a76",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        }
      },
      "source": [
        "##Valores Nulos\n",
        "for col in prestaciones.columns:\n",
        "  print('Valores nulos en \"{}\": {}'.format(col,prestaciones[col].isna().sum()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Valores nulos en \"entidad_federativa\": 0\n",
            "Valores nulos en \"ano\": 0\n",
            "Valores nulos en \"trimestre\": 0\n",
            "Valores nulos en \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 0\n",
            "Valores nulos en \"poblacion_femenina_ocupada_total\": 0\n",
            "Valores nulos en \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4HP8khYvZRRW",
        "outputId": "283ab30d-c2f7-4629-a467-572cc1f4ca24",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 139
        }
      },
      "source": [
        "#Tipos de datos\n",
        "prestaciones.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa                                              object\n",
              "ano                                                              int64\n",
              "trimestre                                                        int64\n",
              "porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales      float64\n",
              "poblacion_femenina_ocupada_total                                 int64\n",
              "poblacion_femenina_ocupada_con_prestaciones_laborales_total      int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 155
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8CYd3B1wZUDo",
        "outputId": "8610c90b-06c9-40d6-de57-f4d132a25d13",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 239
        }
      },
      "source": [
        "##Volvemos a observar los datos\n",
        "prestaciones.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>entidad_federativa</th>\n",
              "      <th>ano</th>\n",
              "      <th>trimestre</th>\n",
              "      <th>porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales</th>\n",
              "      <th>poblacion_femenina_ocupada_total</th>\n",
              "      <th>poblacion_femenina_ocupada_con_prestaciones_laborales_total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Estados Unidos Mexicanos</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>42.94</td>\n",
              "      <td>17143259</td>\n",
              "      <td>7361181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aguascalientes</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>54.17</td>\n",
              "      <td>175816</td>\n",
              "      <td>95248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Baja California</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>56.99</td>\n",
              "      <td>512743</td>\n",
              "      <td>292225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Baja California Sur</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>51.94</td>\n",
              "      <td>110071</td>\n",
              "      <td>57173</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Campeche</td>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>42.28</td>\n",
              "      <td>128589</td>\n",
              "      <td>54361</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         entidad_federativa  ...  poblacion_femenina_ocupada_con_prestaciones_laborales_total\n",
              "0  Estados Unidos Mexicanos  ...                                            7361181          \n",
              "1            Aguascalientes  ...                                              95248          \n",
              "2           Baja California  ...                                             292225          \n",
              "3       Baja California Sur  ...                                              57173          \n",
              "4                  Campeche  ...                                              54361          \n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 156
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xcx6XGNJmXUK"
      },
      "source": [
        "##Acorto los nombres con otras variables\n",
        "prestaciones['porcentaje'] = prestaciones.porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\n",
        "prestaciones['ocupada_total'] = prestaciones.poblacion_femenina_ocupada_total\n",
        "prestaciones['ocupada_prestaciones'] = prestaciones.poblacion_femenina_ocupada_con_prestaciones_laborales_total"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KQ4sqFuolIfm"
      },
      "source": [
        "###Descripción por tipo de dato"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jZNjshGCbNC1"
      },
      "source": [
        "## Se clasifican los datos en numéricos y categóricos\n",
        "numerical2 = prestaciones.select_dtypes(include='number')\n",
        "categorical2 = prestaciones.select_dtypes(include=['object', 'bool', 'category', 'datetime64[ns]'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g0hJeAuHbNHf",
        "outputId": "1814ab02-5154-483b-bd14-7827b532eeb5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 222
        }
      },
      "source": [
        "numerical2.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ano</th>\n",
              "      <th>trimestre</th>\n",
              "      <th>porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales</th>\n",
              "      <th>poblacion_femenina_ocupada_total</th>\n",
              "      <th>poblacion_femenina_ocupada_con_prestaciones_laborales_total</th>\n",
              "      <th>porcentaje</th>\n",
              "      <th>ocupada_total</th>\n",
              "      <th>ocupada_prestaciones</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>42.94</td>\n",
              "      <td>17143259</td>\n",
              "      <td>7361181</td>\n",
              "      <td>42.94</td>\n",
              "      <td>17143259</td>\n",
              "      <td>7361181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>54.17</td>\n",
              "      <td>175816</td>\n",
              "      <td>95248</td>\n",
              "      <td>54.17</td>\n",
              "      <td>175816</td>\n",
              "      <td>95248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>56.99</td>\n",
              "      <td>512743</td>\n",
              "      <td>292225</td>\n",
              "      <td>56.99</td>\n",
              "      <td>512743</td>\n",
              "      <td>292225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>51.94</td>\n",
              "      <td>110071</td>\n",
              "      <td>57173</td>\n",
              "      <td>51.94</td>\n",
              "      <td>110071</td>\n",
              "      <td>57173</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2010</td>\n",
              "      <td>4</td>\n",
              "      <td>42.28</td>\n",
              "      <td>128589</td>\n",
              "      <td>54361</td>\n",
              "      <td>42.28</td>\n",
              "      <td>128589</td>\n",
              "      <td>54361</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    ano  trimestre  ...  ocupada_total  ocupada_prestaciones\n",
              "0  2010          4  ...       17143259               7361181\n",
              "1  2010          4  ...         175816                 95248\n",
              "2  2010          4  ...         512743                292225\n",
              "3  2010          4  ...         110071                 57173\n",
              "4  2010          4  ...         128589                 54361\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 159
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DT1_iZfQbNLj",
        "outputId": "b31cb599-1f5b-4d7d-b299-6e328b4078a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        }
      },
      "source": [
        "categorical2.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>entidad_federativa</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Estados Unidos Mexicanos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aguascalientes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Baja California</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Baja California Sur</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Campeche</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         entidad_federativa\n",
              "0  Estados Unidos Mexicanos\n",
              "1            Aguascalientes\n",
              "2           Baja California\n",
              "3       Baja California Sur\n",
              "4                  Campeche"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 160
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l9hUH3UObaf0"
      },
      "source": [
        "# para conocer todos los tipo de datos\n",
        "?prestaciones.select_dtypes"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HfwmmWtnbalZ",
        "outputId": "a0815a8a-efb8-41dc-db1c-525a1fc78592",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        }
      },
      "source": [
        "numerical2.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ano</th>\n",
              "      <th>trimestre</th>\n",
              "      <th>porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales</th>\n",
              "      <th>poblacion_femenina_ocupada_total</th>\n",
              "      <th>poblacion_femenina_ocupada_con_prestaciones_laborales_total</th>\n",
              "      <th>porcentaje</th>\n",
              "      <th>ocupada_total</th>\n",
              "      <th>ocupada_prestaciones</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>297.000000</td>\n",
              "      <td>297.0</td>\n",
              "      <td>297.000000</td>\n",
              "      <td>2.970000e+02</td>\n",
              "      <td>2.970000e+02</td>\n",
              "      <td>297.000000</td>\n",
              "      <td>2.970000e+02</td>\n",
              "      <td>2.970000e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2014.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>43.949428</td>\n",
              "      <td>1.166558e+06</td>\n",
              "      <td>5.099601e+05</td>\n",
              "      <td>43.949428</td>\n",
              "      <td>1.166558e+06</td>\n",
              "      <td>5.099601e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.586347</td>\n",
              "      <td>0.0</td>\n",
              "      <td>12.089843</td>\n",
              "      <td>3.248086e+06</td>\n",
              "      <td>1.424658e+06</td>\n",
              "      <td>12.089843</td>\n",
              "      <td>3.248086e+06</td>\n",
              "      <td>1.424658e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>2010.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>17.430000</td>\n",
              "      <td>1.100710e+05</td>\n",
              "      <td>5.059700e+04</td>\n",
              "      <td>17.430000</td>\n",
              "      <td>1.100710e+05</td>\n",
              "      <td>5.059700e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2012.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>34.010000</td>\n",
              "      <td>2.740190e+05</td>\n",
              "      <td>1.124690e+05</td>\n",
              "      <td>34.010000</td>\n",
              "      <td>2.740190e+05</td>\n",
              "      <td>1.124690e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2014.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>43.830000</td>\n",
              "      <td>4.885690e+05</td>\n",
              "      <td>1.671900e+05</td>\n",
              "      <td>43.830000</td>\n",
              "      <td>4.885690e+05</td>\n",
              "      <td>1.671900e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>53.430000</td>\n",
              "      <td>7.199360e+05</td>\n",
              "      <td>3.357430e+05</td>\n",
              "      <td>53.430000</td>\n",
              "      <td>7.199360e+05</td>\n",
              "      <td>3.357430e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2018.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>67.910000</td>\n",
              "      <td>2.090806e+07</td>\n",
              "      <td>9.392031e+06</td>\n",
              "      <td>67.910000</td>\n",
              "      <td>2.090806e+07</td>\n",
              "      <td>9.392031e+06</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               ano  trimestre  ...  ocupada_total  ocupada_prestaciones\n",
              "count   297.000000      297.0  ...   2.970000e+02          2.970000e+02\n",
              "mean   2014.000000        4.0  ...   1.166558e+06          5.099601e+05\n",
              "std       2.586347        0.0  ...   3.248086e+06          1.424658e+06\n",
              "min    2010.000000        4.0  ...   1.100710e+05          5.059700e+04\n",
              "25%    2012.000000        4.0  ...   2.740190e+05          1.124690e+05\n",
              "50%    2014.000000        4.0  ...   4.885690e+05          1.671900e+05\n",
              "75%    2016.000000        4.0  ...   7.199360e+05          3.357430e+05\n",
              "max    2018.000000        4.0  ...   2.090806e+07          9.392031e+06\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_IW435CrcKO4"
      },
      "source": [
        "###Análisis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MRfdMzsQlb8v",
        "outputId": "70bc6613-16f4-46e7-8633-3490b98c5646",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        }
      },
      "source": [
        "## Cambio en el ingreso a través del tiempo\n",
        "prestaciones.groupby('ano').porcentaje.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ano</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2010</th>\n",
              "      <td>33.0</td>\n",
              "      <td>43.147273</td>\n",
              "      <td>10.840483</td>\n",
              "      <td>20.55</td>\n",
              "      <td>35.40</td>\n",
              "      <td>42.94</td>\n",
              "      <td>51.94</td>\n",
              "      <td>62.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011</th>\n",
              "      <td>33.0</td>\n",
              "      <td>41.710000</td>\n",
              "      <td>10.969354</td>\n",
              "      <td>19.31</td>\n",
              "      <td>33.53</td>\n",
              "      <td>41.81</td>\n",
              "      <td>50.12</td>\n",
              "      <td>59.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012</th>\n",
              "      <td>33.0</td>\n",
              "      <td>43.439697</td>\n",
              "      <td>11.320932</td>\n",
              "      <td>19.24</td>\n",
              "      <td>34.59</td>\n",
              "      <td>43.03</td>\n",
              "      <td>52.82</td>\n",
              "      <td>61.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013</th>\n",
              "      <td>33.0</td>\n",
              "      <td>43.062727</td>\n",
              "      <td>11.718370</td>\n",
              "      <td>18.91</td>\n",
              "      <td>34.68</td>\n",
              "      <td>42.28</td>\n",
              "      <td>52.19</td>\n",
              "      <td>61.83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2014</th>\n",
              "      <td>33.0</td>\n",
              "      <td>44.657576</td>\n",
              "      <td>12.627401</td>\n",
              "      <td>20.45</td>\n",
              "      <td>34.70</td>\n",
              "      <td>44.03</td>\n",
              "      <td>54.92</td>\n",
              "      <td>65.54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015</th>\n",
              "      <td>33.0</td>\n",
              "      <td>43.790606</td>\n",
              "      <td>12.542556</td>\n",
              "      <td>18.05</td>\n",
              "      <td>33.51</td>\n",
              "      <td>44.09</td>\n",
              "      <td>52.50</td>\n",
              "      <td>63.65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016</th>\n",
              "      <td>33.0</td>\n",
              "      <td>45.090000</td>\n",
              "      <td>12.543922</td>\n",
              "      <td>17.84</td>\n",
              "      <td>35.58</td>\n",
              "      <td>47.05</td>\n",
              "      <td>53.75</td>\n",
              "      <td>64.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017</th>\n",
              "      <td>33.0</td>\n",
              "      <td>45.230303</td>\n",
              "      <td>13.316017</td>\n",
              "      <td>19.47</td>\n",
              "      <td>35.12</td>\n",
              "      <td>45.91</td>\n",
              "      <td>55.18</td>\n",
              "      <td>67.91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018</th>\n",
              "      <td>33.0</td>\n",
              "      <td>45.416667</td>\n",
              "      <td>13.584891</td>\n",
              "      <td>17.43</td>\n",
              "      <td>32.23</td>\n",
              "      <td>46.35</td>\n",
              "      <td>55.58</td>\n",
              "      <td>67.08</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      count       mean        std    min    25%    50%    75%    max\n",
              "ano                                                                 \n",
              "2010   33.0  43.147273  10.840483  20.55  35.40  42.94  51.94  62.38\n",
              "2011   33.0  41.710000  10.969354  19.31  33.53  41.81  50.12  59.55\n",
              "2012   33.0  43.439697  11.320932  19.24  34.59  43.03  52.82  61.03\n",
              "2013   33.0  43.062727  11.718370  18.91  34.68  42.28  52.19  61.83\n",
              "2014   33.0  44.657576  12.627401  20.45  34.70  44.03  54.92  65.54\n",
              "2015   33.0  43.790606  12.542556  18.05  33.51  44.09  52.50  63.65\n",
              "2016   33.0  45.090000  12.543922  17.84  35.58  47.05  53.75  64.27\n",
              "2017   33.0  45.230303  13.316017  19.47  35.12  45.91  55.18  67.91\n",
              "2018   33.0  45.416667  13.584891  17.43  32.23  46.35  55.58  67.08"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 163
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AtHcH8B5n9RH"
      },
      "source": [
        ">Con mayor cantidad de datos, podemos observar que la variación es poca, el promedio desde 2010 se mantiene entre 43 y 46 porciento. Lo que quiere decir que, a grandes razgos, las mujeres, aunque tengan trabajo, en más de la mitad de los casos no cuentan con prestaciones laborales."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8sJ2W5F3lcPM",
        "outputId": "4313b95d-83f8-46fe-ab40-7c95dc3f24b8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "source": [
        "#Promedio del porcentaje por entidad federativa\n",
        "prestaciones.groupby('entidad_federativa').porcentaje.mean().sort_values()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa\n",
              "Oaxaca                             19.027778\n",
              "Guerrero                           22.381111\n",
              "Puebla                             25.531111\n",
              "Chiapas                            28.216667\n",
              "Michoacán de Ocampo                28.378889\n",
              "Tlaxcala                           29.004444\n",
              "Hidalgo                            30.452222\n",
              "Veracruz de Ignacio de la Llave    33.084444\n",
              "Morelos                            33.587778\n",
              "México                             40.424444\n",
              "Zacatecas                          41.078889\n",
              "Tabasco                            41.317778\n",
              "Campeche                           41.371111\n",
              "Nayarit                            41.586667\n",
              "San Luis Potosí                    42.577778\n",
              "Estados Unidos Mexicanos           43.668889\n",
              "Yucatán                            43.874444\n",
              "Colima                             43.962222\n",
              "Durango                            47.263333\n",
              "Guanajuato                         47.832222\n",
              "Jalisco                            50.898889\n",
              "Sinaloa                            52.205556\n",
              "Tamaulipas                         53.144444\n",
              "Sonora                             53.238889\n",
              "Ciudad de México                   53.290000\n",
              "Querétaro                          53.432222\n",
              "Quintana Roo                       54.117778\n",
              "Aguascalientes                     54.813333\n",
              "Baja California Sur                56.231111\n",
              "Baja California                    58.715556\n",
              "Coahuila de Zaragoza               61.220000\n",
              "Nuevo León                         62.180000\n",
              "Chihuahua                          62.221111\n",
              "Name: porcentaje, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 164
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mKygZwe9ov9S"
      },
      "source": [
        ">En este punto nos damos cuenta de que las prestaciones laborales en Oaxaca son muy pocas, mientras que en Chihuahua, Nuevo León y Coahuila son un poco más altas sin llegar a ser mucho más que la mitad."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h2GWkUUPlcWl",
        "outputId": "a4dd3e4b-c671-4b08-d3bd-e8c20fef1daf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "source": [
        "# De acuerdo a la información más actual, ¿hay cambio?\n",
        "prestaciones.query('ano == \"2018\"').groupby('entidad_federativa').porcentaje.mean().sort_values()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "entidad_federativa\n",
              "Oaxaca                             17.43\n",
              "Guerrero                           21.25\n",
              "Puebla                             25.80\n",
              "Hidalgo                            26.73\n",
              "Michoacán de Ocampo                28.96\n",
              "Tlaxcala                           29.35\n",
              "Chiapas                            30.58\n",
              "Veracruz de Ignacio de la Llave    31.36\n",
              "Morelos                            32.23\n",
              "México                             38.98\n",
              "Tabasco                            40.12\n",
              "Campeche                           41.31\n",
              "Nayarit                            42.53\n",
              "Yucatán                            43.12\n",
              "Estados Unidos Mexicanos           44.92\n",
              "Zacatecas                          45.47\n",
              "San Luis Potosí                    46.35\n",
              "Colima                             46.35\n",
              "Durango                            52.93\n",
              "Guanajuato                         53.02\n",
              "Querétaro                          53.27\n",
              "Ciudad de México                   53.76\n",
              "Jalisco                            54.01\n",
              "Quintana Roo                       54.25\n",
              "Sinaloa                            55.58\n",
              "Sonora                             56.24\n",
              "Aguascalientes                     57.96\n",
              "Tamaulipas                         58.36\n",
              "Baja California Sur                58.97\n",
              "Baja California                    61.69\n",
              "Nuevo León                         63.73\n",
              "Chihuahua                          65.06\n",
              "Coahuila de Zaragoza               67.08\n",
              "Name: porcentaje, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 165
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VZin1-cHqB1e"
      },
      "source": [
        ">Afortunadamente existe un aumento en las entidades con mejores oportunidades de prestaciones laborales, aunque en Oaxaca, el que posee peor puntuación, las oportunidades están por debajo del promedio."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XLkyO6H0bkhG",
        "outputId": "66d49821-e006-4d8d-f25a-e9071d4a0374",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# Gráfica contrastante\n",
        "datos3 = prestaciones.query('entidad_federativa != \"Estados Unidos Mexicanos\"')\n",
        "titulo_grafico = \"Porcentaje de mujeres ocupadas con prestaciones laborales\"\n",
        "grafP=alt.Chart(datos3).mark_bar(color = 'purple', fillOpacity=.6).encode(\n",
        "    x = alt.X(\"entidad_federativa:N\", title=\"Entidad Federativa\"),\n",
        "    y = alt.Y(\"mean(porcentaje):Q\", title = \"Porcentaje\")\n",
        ").properties(\n",
        "    title = titulo_grafico,\n",
        "    width = 750,\n",
        "    height = 300\n",
        ")\n",
        "\n",
        "grafT = alt.Chart(datos3).mark_bar(color = 'green', fillOpacity=.6).encode(\n",
        "    x = alt.X(\"entidad_federativa:N\",  title=\"Entidad Federativa\"),\n",
        "    y = alt.Y(\"mean(ocupada_total):Q\",  title=\"Mujeres Ocupadas\")\n",
        ").properties(\n",
        "    width = 750,\n",
        "    height = 300\n",
        ")\n",
        "\n",
        "grafR = alt.Chart(datos3).mark_bar(color = 'orange', fillOpacity=.6).encode(\n",
        "    x = alt.X(\"entidad_federativa:N\",  title=\"Entidad Federativa\"),\n",
        "    y = alt.Y(\"mean(ocupada_prestaciones):Q\",  title=\"Mujeres Ocupadas con prestaciones\")\n",
        ").properties(\n",
        "    width = 750,\n",
        "    height = 300\n",
        ")\n",
        "\n",
        "graficaContraste = grafT+grafR.properties(title = \"Contraste\")\n",
        "graficaTotal = alt.vconcat(grafP, grafR, grafT)\n",
        "alt.vconcat(graficaTotal, graficaContraste)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alt.VConcatChart(...)"
            ],
            "text/html": [
              "\n",
              "<div id=\"altair-viz-f18f08ac2e244a809c285b152e4dee46\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-f18f08ac2e244a809c285b152e4dee46\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-f18f08ac2e244a809c285b152e4dee46\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function loadScript(lib) {\n",
              "      return new Promise(function(resolve, reject) {\n",
              "        var s = document.createElement('script');\n",
              "        s.src = paths[lib];\n",
              "        s.async = true;\n",
              "        s.onload = () => resolve(paths[lib]);\n",
              "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "      });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else if (typeof vegaEmbed === \"function\") {\n",
              "      displayChart(vegaEmbed);\n",
              "    } else {\n",
              "      loadScript(\"vega\")\n",
              "        .then(() => loadScript(\"vega-lite\"))\n",
              "        .then(() => loadScript(\"vega-embed\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"vconcat\": [{\"vconcat\": [{\"mark\": {\"type\": \"bar\", \"color\": \"purple\", \"fillOpacity\": 0.6}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"porcentaje\", \"title\": \"Porcentaje\"}}, \"height\": 300, \"title\": \"Porcentaje de mujeres ocupadas con prestaciones laborales\", \"width\": 750}, {\"mark\": {\"type\": \"bar\", \"color\": \"orange\", \"fillOpacity\": 0.6}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"ocupada_prestaciones\", \"title\": \"Mujeres Ocupadas con prestaciones\"}}, \"height\": 300, \"width\": 750}, {\"mark\": {\"type\": \"bar\", \"color\": \"green\", \"fillOpacity\": 0.6}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"ocupada_total\", \"title\": \"Mujeres Ocupadas\"}}, \"height\": 300, \"width\": 750}]}, {\"layer\": [{\"mark\": {\"type\": \"bar\", \"color\": \"green\", \"fillOpacity\": 0.6}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"ocupada_total\", \"title\": \"Mujeres Ocupadas\"}}, \"height\": 300, \"width\": 750}, {\"mark\": {\"type\": \"bar\", \"color\": \"orange\", \"fillOpacity\": 0.6}, \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"entidad_federativa\", \"title\": \"Entidad Federativa\"}, \"y\": {\"type\": \"quantitative\", \"aggregate\": \"mean\", \"field\": \"ocupada_prestaciones\", \"title\": \"Mujeres Ocupadas con prestaciones\"}}, \"height\": 300, \"title\": \"Contraste\", \"width\": 750}]}], \"data\": {\"name\": \"data-536518a048cd000f0f5ee960c4af3c17\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-536518a048cd000f0f5ee960c4af3c17\": [{\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.17, \"poblacion_femenina_ocupada_total\": 175816, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 95248, \"porcentaje\": 54.17, \"ocupada_total\": 175816, \"ocupada_prestaciones\": 95248}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.99, \"poblacion_femenina_ocupada_total\": 512743, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 292225, \"porcentaje\": 56.99, \"ocupada_total\": 512743, \"ocupada_prestaciones\": 292225}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.94, \"poblacion_femenina_ocupada_total\": 110071, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 57173, \"porcentaje\": 51.94, \"ocupada_total\": 110071, \"ocupada_prestaciones\": 57173}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.28, \"poblacion_femenina_ocupada_total\": 128589, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 54361, \"porcentaje\": 42.28, \"ocupada_total\": 128589, \"ocupada_prestaciones\": 54361}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.92, \"poblacion_femenina_ocupada_total\": 392848, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 219664, \"porcentaje\": 55.92, \"ocupada_total\": 392848, \"ocupada_prestaciones\": 219664}, {\"entidad_federativa\": \"Colima\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.25, \"poblacion_femenina_ocupada_total\": 125432, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 53000, \"porcentaje\": 42.25, \"ocupada_total\": 125432, \"ocupada_prestaciones\": 53000}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.89, \"poblacion_femenina_ocupada_total\": 516258, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 159474, \"porcentaje\": 30.89, \"ocupada_total\": 516258, \"ocupada_prestaciones\": 159474}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.0, \"poblacion_femenina_ocupada_total\": 450660, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 238854, \"porcentaje\": 53.0, \"ocupada_total\": 450660, \"ocupada_prestaciones\": 238854}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.43, \"poblacion_femenina_ocupada_total\": 1740268, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 929887, \"porcentaje\": 53.43, \"ocupada_total\": 1740268, \"ocupada_prestaciones\": 929887}, {\"entidad_federativa\": \"Durango\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 46.64, \"poblacion_femenina_ocupada_total\": 209530, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 97721, \"porcentaje\": 46.64, \"ocupada_total\": 209530, \"ocupada_prestaciones\": 97721}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.24, \"poblacion_femenina_ocupada_total\": 865300, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 374133, \"porcentaje\": 43.24, \"ocupada_total\": 865300, \"ocupada_prestaciones\": 374133}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 21.28, \"poblacion_femenina_ocupada_total\": 568951, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 121068, \"porcentaje\": 21.28, \"ocupada_total\": 568951, \"ocupada_prestaciones\": 121068}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.82, \"poblacion_femenina_ocupada_total\": 388114, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 119611, \"porcentaje\": 30.82, \"ocupada_total\": 388114, \"ocupada_prestaciones\": 119611}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 48.04, \"poblacion_femenina_ocupada_total\": 1244391, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 597816, \"porcentaje\": 48.04, \"ocupada_total\": 1244391, \"ocupada_prestaciones\": 597816}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.06, \"poblacion_femenina_ocupada_total\": 2174023, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 914437, \"porcentaje\": 42.06, \"ocupada_total\": 2174023, \"ocupada_prestaciones\": 914437}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.95, \"poblacion_femenina_ocupada_total\": 576503, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 178403, \"porcentaje\": 30.95, \"ocupada_total\": 576503, \"ocupada_prestaciones\": 178403}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 35.4, \"poblacion_femenina_ocupada_total\": 293541, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 103908, \"porcentaje\": 35.4, \"ocupada_total\": 293541, \"ocupada_prestaciones\": 103908}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.19, \"poblacion_femenina_ocupada_total\": 188234, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 73764, \"porcentaje\": 39.19, \"ocupada_total\": 188234, \"ocupada_prestaciones\": 73764}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 62.38, \"poblacion_femenina_ocupada_total\": 770708, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 480750, \"porcentaje\": 62.38, \"ocupada_total\": 770708, \"ocupada_prestaciones\": 480750}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 20.55, \"poblacion_femenina_ocupada_total\": 599414, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 123161, \"porcentaje\": 20.55, \"ocupada_total\": 599414, \"ocupada_prestaciones\": 123161}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 25.81, \"poblacion_femenina_ocupada_total\": 926467, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 239079, \"porcentaje\": 25.81, \"ocupada_total\": 926467, \"ocupada_prestaciones\": 239079}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.45, \"poblacion_femenina_ocupada_total\": 261580, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 147649, \"porcentaje\": 56.45, \"ocupada_total\": 261580, \"ocupada_prestaciones\": 147649}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.64, \"poblacion_femenina_ocupada_total\": 254172, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 136339, \"porcentaje\": 53.64, \"ocupada_total\": 254172, \"ocupada_prestaciones\": 136339}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.83, \"poblacion_femenina_ocupada_total\": 356457, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 156239, \"porcentaje\": 43.83, \"ocupada_total\": 356457, \"ocupada_prestaciones\": 156239}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 49.5, \"poblacion_femenina_ocupada_total\": 445723, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 220654, \"porcentaje\": 49.5, \"ocupada_total\": 445723, \"ocupada_prestaciones\": 220654}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.68, \"poblacion_femenina_ocupada_total\": 411806, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 212811, \"porcentaje\": 51.68, \"ocupada_total\": 411806, \"ocupada_prestaciones\": 212811}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.27, \"poblacion_femenina_ocupada_total\": 274019, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 115839, \"porcentaje\": 42.27, \"ocupada_total\": 274019, \"ocupada_prestaciones\": 115839}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.04, \"poblacion_femenina_ocupada_total\": 488569, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 249386, \"porcentaje\": 51.04, \"ocupada_total\": 488569, \"ocupada_prestaciones\": 249386}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 28.84, \"poblacion_femenina_ocupada_total\": 179316, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 51717, \"porcentaje\": 28.84, \"ocupada_total\": 179316, \"ocupada_prestaciones\": 51717}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 32.87, \"poblacion_femenina_ocupada_total\": 974342, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 320258, \"porcentaje\": 32.87, \"ocupada_total\": 974342, \"ocupada_prestaciones\": 320258}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.64, \"poblacion_femenina_ocupada_total\": 337949, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 144094, \"porcentaje\": 42.64, \"ocupada_total\": 337949, \"ocupada_prestaciones\": 144094}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2010, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.93, \"poblacion_femenina_ocupada_total\": 201465, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 82458, \"porcentaje\": 40.93, \"ocupada_total\": 201465, \"ocupada_prestaciones\": 82458}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 49.95, \"poblacion_femenina_ocupada_total\": 190561, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 95193, \"porcentaje\": 49.95, \"ocupada_total\": 190561, \"ocupada_prestaciones\": 95193}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.59, \"poblacion_femenina_ocupada_total\": 544389, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 286288, \"porcentaje\": 52.59, \"ocupada_total\": 544389, \"ocupada_prestaciones\": 286288}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.23, \"poblacion_femenina_ocupada_total\": 127974, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 68115, \"porcentaje\": 53.23, \"ocupada_total\": 127974, \"ocupada_prestaciones\": 68115}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.54, \"poblacion_femenina_ocupada_total\": 136518, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 56712, \"porcentaje\": 41.54, \"ocupada_total\": 136518, \"ocupada_prestaciones\": 56712}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.94, \"poblacion_femenina_ocupada_total\": 436720, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 235578, \"porcentaje\": 53.94, \"ocupada_total\": 436720, \"ocupada_prestaciones\": 235578}, {\"entidad_federativa\": \"Colima\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.34, \"poblacion_femenina_ocupada_total\": 131684, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 54435, \"porcentaje\": 41.34, \"ocupada_total\": 131684, \"ocupada_prestaciones\": 54435}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.99, \"poblacion_femenina_ocupada_total\": 573584, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 154813, \"porcentaje\": 26.99, \"ocupada_total\": 573584, \"ocupada_prestaciones\": 154813}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.5, \"poblacion_femenina_ocupada_total\": 469665, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 274770, \"porcentaje\": 58.5, \"ocupada_total\": 469665, \"ocupada_prestaciones\": 274770}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.55, \"poblacion_femenina_ocupada_total\": 1816216, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 954414, \"porcentaje\": 52.55, \"ocupada_total\": 1816216, \"ocupada_prestaciones\": 954414}, {\"entidad_federativa\": \"Durango\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 46.29, \"poblacion_femenina_ocupada_total\": 240919, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 111531, \"porcentaje\": 46.29, \"ocupada_total\": 240919, \"ocupada_prestaciones\": 111531}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 44.53, \"poblacion_femenina_ocupada_total\": 902820, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 401995, \"porcentaje\": 44.53, \"ocupada_total\": 902820, \"ocupada_prestaciones\": 401995}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 19.37, \"poblacion_femenina_ocupada_total\": 593655, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 115020, \"porcentaje\": 19.37, \"ocupada_total\": 593655, \"ocupada_prestaciones\": 115020}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 28.49, \"poblacion_femenina_ocupada_total\": 393583, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 112138, \"porcentaje\": 28.49, \"ocupada_total\": 393583, \"ocupada_prestaciones\": 112138}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 46.11, \"poblacion_femenina_ocupada_total\": 1341714, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 618681, \"porcentaje\": 46.11, \"ocupada_total\": 1341714, \"ocupada_prestaciones\": 618681}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.63, \"poblacion_femenina_ocupada_total\": 2494574, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 988548, \"porcentaje\": 39.63, \"ocupada_total\": 2494574, \"ocupada_prestaciones\": 988548}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.49, \"poblacion_femenina_ocupada_total\": 626415, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 184745, \"porcentaje\": 29.49, \"ocupada_total\": 626415, \"ocupada_prestaciones\": 184745}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 33.53, \"poblacion_femenina_ocupada_total\": 315554, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 105813, \"porcentaje\": 33.53, \"ocupada_total\": 315554, \"ocupada_prestaciones\": 105813}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 38.89, \"poblacion_femenina_ocupada_total\": 190333, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 74014, \"porcentaje\": 38.89, \"ocupada_total\": 190333, \"ocupada_prestaciones\": 74014}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 59.55, \"poblacion_femenina_ocupada_total\": 802067, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 477660, \"porcentaje\": 59.55, \"ocupada_total\": 802067, \"ocupada_prestaciones\": 477660}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 19.31, \"poblacion_femenina_ocupada_total\": 680739, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 131430, \"porcentaje\": 19.31, \"ocupada_total\": 680739, \"ocupada_prestaciones\": 131430}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 24.79, \"poblacion_femenina_ocupada_total\": 1032380, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 255957, \"porcentaje\": 24.79, \"ocupada_total\": 1032380, \"ocupada_prestaciones\": 255957}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 50.01, \"poblacion_femenina_ocupada_total\": 286135, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 143110, \"porcentaje\": 50.01, \"ocupada_total\": 286135, \"ocupada_prestaciones\": 143110}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.57, \"poblacion_femenina_ocupada_total\": 259688, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 133927, \"porcentaje\": 51.57, \"ocupada_total\": 259688, \"ocupada_prestaciones\": 133927}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.05, \"poblacion_femenina_ocupada_total\": 379624, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 163412, \"porcentaje\": 43.05, \"ocupada_total\": 379624, \"ocupada_prestaciones\": 163412}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 50.12, \"poblacion_femenina_ocupada_total\": 495370, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 248266, \"porcentaje\": 50.12, \"ocupada_total\": 495370, \"ocupada_prestaciones\": 248266}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.5, \"poblacion_femenina_ocupada_total\": 458237, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 236013, \"porcentaje\": 51.5, \"ocupada_total\": 458237, \"ocupada_prestaciones\": 236013}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.79, \"poblacion_femenina_ocupada_total\": 327553, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 130330, \"porcentaje\": 39.79, \"ocupada_total\": 327553, \"ocupada_prestaciones\": 130330}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 48.5, \"poblacion_femenina_ocupada_total\": 558091, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 270659, \"porcentaje\": 48.5, \"ocupada_total\": 558091, \"ocupada_prestaciones\": 270659}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.96, \"poblacion_femenina_ocupada_total\": 187705, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 50597, \"porcentaje\": 26.96, \"ocupada_total\": 187705, \"ocupada_prestaciones\": 50597}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 31.61, \"poblacion_femenina_ocupada_total\": 1062171, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 335743, \"porcentaje\": 31.61, \"ocupada_total\": 1062171, \"ocupada_prestaciones\": 335743}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.81, \"poblacion_femenina_ocupada_total\": 366904, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 153419, \"porcentaje\": 41.81, \"ocupada_total\": 366904, \"ocupada_prestaciones\": 153419}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2011, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.54, \"poblacion_femenina_ocupada_total\": 200540, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 79299, \"porcentaje\": 39.54, \"ocupada_total\": 200540, \"ocupada_prestaciones\": 79299}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.73, \"poblacion_femenina_ocupada_total\": 187762, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 102754, \"porcentaje\": 54.73, \"ocupada_total\": 187762, \"ocupada_prestaciones\": 102754}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.5, \"poblacion_femenina_ocupada_total\": 568598, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 315592, \"porcentaje\": 55.5, \"ocupada_total\": 568598, \"ocupada_prestaciones\": 315592}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.58, \"poblacion_femenina_ocupada_total\": 131428, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 74368, \"porcentaje\": 56.58, \"ocupada_total\": 131428, \"ocupada_prestaciones\": 74368}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.68, \"poblacion_femenina_ocupada_total\": 145257, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 60544, \"porcentaje\": 41.68, \"ocupada_total\": 145257, \"ocupada_prestaciones\": 60544}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.82, \"poblacion_femenina_ocupada_total\": 442722, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 260411, \"porcentaje\": 58.82, \"ocupada_total\": 442722, \"ocupada_prestaciones\": 260411}, {\"entidad_federativa\": \"Colima\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.01, \"poblacion_femenina_ocupada_total\": 138054, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 56613, \"porcentaje\": 41.01, \"ocupada_total\": 138054, \"ocupada_prestaciones\": 56613}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.33, \"poblacion_femenina_ocupada_total\": 543197, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 159335, \"porcentaje\": 29.33, \"ocupada_total\": 543197, \"ocupada_prestaciones\": 159335}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 61.03, \"poblacion_femenina_ocupada_total\": 508123, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 310119, \"porcentaje\": 61.03, \"ocupada_total\": 508123, \"ocupada_prestaciones\": 310119}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.82, \"poblacion_femenina_ocupada_total\": 1852240, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 978298, \"porcentaje\": 52.82, \"ocupada_total\": 1852240, \"ocupada_prestaciones\": 978298}, {\"entidad_federativa\": \"Durango\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 45.82, \"poblacion_femenina_ocupada_total\": 241282, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 110565, \"porcentaje\": 45.82, \"ocupada_total\": 241282, \"ocupada_prestaciones\": 110565}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.58, \"poblacion_femenina_ocupada_total\": 931484, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 396636, \"porcentaje\": 42.58, \"ocupada_total\": 931484, \"ocupada_prestaciones\": 396636}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 21.92, \"poblacion_femenina_ocupada_total\": 523604, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 114749, \"porcentaje\": 21.92, \"ocupada_total\": 523604, \"ocupada_prestaciones\": 114749}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 33.04, \"poblacion_femenina_ocupada_total\": 407831, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 134757, \"porcentaje\": 33.04, \"ocupada_total\": 407831, \"ocupada_prestaciones\": 134757}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 49.5, \"poblacion_femenina_ocupada_total\": 1318192, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 652478, \"porcentaje\": 49.5, \"ocupada_total\": 1318192, \"ocupada_prestaciones\": 652478}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.4, \"poblacion_femenina_ocupada_total\": 2526104, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 995224, \"porcentaje\": 39.4, \"ocupada_total\": 2526104, \"ocupada_prestaciones\": 995224}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 27.84, \"poblacion_femenina_ocupada_total\": 698777, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 194513, \"porcentaje\": 27.84, \"ocupada_total\": 698777, \"ocupada_prestaciones\": 194513}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 34.59, \"poblacion_femenina_ocupada_total\": 306269, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 105929, \"porcentaje\": 34.59, \"ocupada_total\": 306269, \"ocupada_prestaciones\": 105929}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.02, \"poblacion_femenina_ocupada_total\": 202604, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 81076, \"porcentaje\": 40.02, \"ocupada_total\": 202604, \"ocupada_prestaciones\": 81076}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 60.7, \"poblacion_femenina_ocupada_total\": 829348, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 503448, \"porcentaje\": 60.7, \"ocupada_total\": 829348, \"ocupada_prestaciones\": 503448}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 19.24, \"poblacion_femenina_ocupada_total\": 647026, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 124512, \"porcentaje\": 19.24, \"ocupada_total\": 647026, \"ocupada_prestaciones\": 124512}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.13, \"poblacion_femenina_ocupada_total\": 981601, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 256476, \"porcentaje\": 26.13, \"ocupada_total\": 981601, \"ocupada_prestaciones\": 256476}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.13, \"poblacion_femenina_ocupada_total\": 278849, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 148150, \"porcentaje\": 53.13, \"ocupada_total\": 278849, \"ocupada_prestaciones\": 148150}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.82, \"poblacion_femenina_ocupada_total\": 270526, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 142886, \"porcentaje\": 52.82, \"ocupada_total\": 270526, \"ocupada_prestaciones\": 142886}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 44.86, \"poblacion_femenina_ocupada_total\": 393268, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 176422, \"porcentaje\": 44.86, \"ocupada_total\": 393268, \"ocupada_prestaciones\": 176422}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.04, \"poblacion_femenina_ocupada_total\": 486623, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 248362, \"porcentaje\": 51.04, \"ocupada_total\": 486623, \"ocupada_prestaciones\": 248362}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.19, \"poblacion_femenina_ocupada_total\": 441418, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 234778, \"porcentaje\": 53.19, \"ocupada_total\": 441418, \"ocupada_prestaciones\": 234778}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.56, \"poblacion_femenina_ocupada_total\": 290904, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 126718, \"porcentaje\": 43.56, \"ocupada_total\": 290904, \"ocupada_prestaciones\": 126718}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 50.31, \"poblacion_femenina_ocupada_total\": 548625, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 276016, \"porcentaje\": 50.31, \"ocupada_total\": 548625, \"ocupada_prestaciones\": 276016}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.56, \"poblacion_femenina_ocupada_total\": 189781, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 56105, \"porcentaje\": 29.56, \"ocupada_total\": 189781, \"ocupada_prestaciones\": 56105}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 34.01, \"poblacion_femenina_ocupada_total\": 1087698, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 369905, \"porcentaje\": 34.01, \"ocupada_total\": 1087698, \"ocupada_prestaciones\": 369905}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.85, \"poblacion_femenina_ocupada_total\": 373386, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 160011, \"porcentaje\": 42.85, \"ocupada_total\": 373386, \"ocupada_prestaciones\": 160011}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2012, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.03, \"poblacion_femenina_ocupada_total\": 198500, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 85422, \"porcentaje\": 43.03, \"ocupada_total\": 198500, \"ocupada_prestaciones\": 85422}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.56, \"poblacion_femenina_ocupada_total\": 198203, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 104182, \"porcentaje\": 52.56, \"ocupada_total\": 198203, \"ocupada_prestaciones\": 104182}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.13, \"poblacion_femenina_ocupada_total\": 585456, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 340328, \"porcentaje\": 58.13, \"ocupada_total\": 585456, \"ocupada_prestaciones\": 340328}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 57.43, \"poblacion_femenina_ocupada_total\": 132231, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 75940, \"porcentaje\": 57.43, \"ocupada_total\": 132231, \"ocupada_prestaciones\": 75940}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.76, \"poblacion_femenina_ocupada_total\": 139400, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 59611, \"porcentaje\": 42.76, \"ocupada_total\": 139400, \"ocupada_prestaciones\": 59611}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.41, \"poblacion_femenina_ocupada_total\": 467434, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 273033, \"porcentaje\": 58.41, \"ocupada_total\": 467434, \"ocupada_prestaciones\": 273033}, {\"entidad_federativa\": \"Colima\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.09, \"poblacion_femenina_ocupada_total\": 145401, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 61198, \"porcentaje\": 42.09, \"ocupada_total\": 145401, \"ocupada_prestaciones\": 61198}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 25.0, \"poblacion_femenina_ocupada_total\": 540658, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 135144, \"porcentaje\": 25.0, \"ocupada_total\": 540658, \"ocupada_prestaciones\": 135144}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 61.83, \"poblacion_femenina_ocupada_total\": 529443, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 327376, \"porcentaje\": 61.83, \"ocupada_total\": 529443, \"ocupada_prestaciones\": 327376}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.04, \"poblacion_femenina_ocupada_total\": 1887514, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 963467, \"porcentaje\": 51.04, \"ocupada_total\": 1887514, \"ocupada_prestaciones\": 963467}, {\"entidad_federativa\": \"Durango\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 44.26, \"poblacion_femenina_ocupada_total\": 241200, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 106766, \"porcentaje\": 44.26, \"ocupada_total\": 241200, \"ocupada_prestaciones\": 106766}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.15, \"poblacion_femenina_ocupada_total\": 952791, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 401605, \"porcentaje\": 42.15, \"ocupada_total\": 952791, \"ocupada_prestaciones\": 401605}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 25.11, \"poblacion_femenina_ocupada_total\": 546354, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 137207, \"porcentaje\": 25.11, \"ocupada_total\": 546354, \"ocupada_prestaciones\": 137207}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.79, \"poblacion_femenina_ocupada_total\": 433627, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 129174, \"porcentaje\": 29.79, \"ocupada_total\": 433627, \"ocupada_prestaciones\": 129174}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 50.17, \"poblacion_femenina_ocupada_total\": 1334683, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 669602, \"porcentaje\": 50.17, \"ocupada_total\": 1334683, \"ocupada_prestaciones\": 669602}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.24, \"poblacion_femenina_ocupada_total\": 2632064, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 1085455, \"porcentaje\": 41.24, \"ocupada_total\": 2632064, \"ocupada_prestaciones\": 1085455}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.98, \"poblacion_femenina_ocupada_total\": 696287, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 187859, \"porcentaje\": 26.98, \"ocupada_total\": 696287, \"ocupada_prestaciones\": 187859}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 33.31, \"poblacion_femenina_ocupada_total\": 333613, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 111133, \"porcentaje\": 33.31, \"ocupada_total\": 333613, \"ocupada_prestaciones\": 111133}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.28, \"poblacion_femenina_ocupada_total\": 213039, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 90078, \"porcentaje\": 42.28, \"ocupada_total\": 213039, \"ocupada_prestaciones\": 90078}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 59.88, \"poblacion_femenina_ocupada_total\": 801494, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 479933, \"porcentaje\": 59.88, \"ocupada_total\": 801494, \"ocupada_prestaciones\": 479933}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 18.91, \"poblacion_femenina_ocupada_total\": 639535, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 120918, \"porcentaje\": 18.91, \"ocupada_total\": 639535, \"ocupada_prestaciones\": 120918}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.96, \"poblacion_femenina_ocupada_total\": 998535, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 269177, \"porcentaje\": 26.96, \"ocupada_total\": 998535, \"ocupada_prestaciones\": 269177}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.74, \"poblacion_femenina_ocupada_total\": 279293, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 147308, \"porcentaje\": 52.74, \"ocupada_total\": 279293, \"ocupada_prestaciones\": 147308}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.08, \"poblacion_femenina_ocupada_total\": 251343, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 140943, \"porcentaje\": 56.08, \"ocupada_total\": 251343, \"ocupada_prestaciones\": 140943}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.64, \"poblacion_femenina_ocupada_total\": 404272, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 164305, \"porcentaje\": 40.64, \"ocupada_total\": 404272, \"ocupada_prestaciones\": 164305}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.13, \"poblacion_femenina_ocupada_total\": 492529, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 251808, \"porcentaje\": 51.13, \"ocupada_total\": 492529, \"ocupada_prestaciones\": 251808}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.19, \"poblacion_femenina_ocupada_total\": 508335, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 265304, \"porcentaje\": 52.19, \"ocupada_total\": 508335, \"ocupada_prestaciones\": 265304}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.51, \"poblacion_femenina_ocupada_total\": 314205, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 127269, \"porcentaje\": 40.51, \"ocupada_total\": 314205, \"ocupada_prestaciones\": 127269}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.14, \"poblacion_femenina_ocupada_total\": 592686, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 309028, \"porcentaje\": 52.14, \"ocupada_total\": 592686, \"ocupada_prestaciones\": 309028}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.83, \"poblacion_femenina_ocupada_total\": 204879, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 54978, \"porcentaje\": 26.83, \"ocupada_total\": 204879, \"ocupada_prestaciones\": 54978}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 34.68, \"poblacion_femenina_ocupada_total\": 1088976, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 377614, \"porcentaje\": 34.68, \"ocupada_total\": 1088976, \"ocupada_prestaciones\": 377614}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.0, \"poblacion_femenina_ocupada_total\": 390269, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 163900, \"porcentaje\": 42.0, \"ocupada_total\": 390269, \"ocupada_prestaciones\": 163900}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2013, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.03, \"poblacion_femenina_ocupada_total\": 198788, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 77580, \"porcentaje\": 39.03, \"ocupada_total\": 198788, \"ocupada_prestaciones\": 77580}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.77, \"poblacion_femenina_ocupada_total\": 185051, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 103206, \"porcentaje\": 55.77, \"ocupada_total\": 185051, \"ocupada_prestaciones\": 103206}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 62.06, \"poblacion_femenina_ocupada_total\": 585215, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 363184, \"porcentaje\": 62.06, \"ocupada_total\": 585215, \"ocupada_prestaciones\": 363184}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 57.53, \"poblacion_femenina_ocupada_total\": 132528, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 76248, \"porcentaje\": 57.53, \"ocupada_total\": 132528, \"ocupada_prestaciones\": 76248}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.32, \"poblacion_femenina_ocupada_total\": 141188, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 58339, \"porcentaje\": 41.32, \"ocupada_total\": 141188, \"ocupada_prestaciones\": 58339}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 65.54, \"poblacion_femenina_ocupada_total\": 462458, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 303116, \"porcentaje\": 65.54, \"ocupada_total\": 462458, \"ocupada_prestaciones\": 303116}, {\"entidad_federativa\": \"Colima\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.08, \"poblacion_femenina_ocupada_total\": 142117, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 61225, \"porcentaje\": 43.08, \"ocupada_total\": 142117, \"ocupada_prestaciones\": 61225}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.36, \"poblacion_femenina_ocupada_total\": 529921, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 139683, \"porcentaje\": 26.36, \"ocupada_total\": 529921, \"ocupada_prestaciones\": 139683}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 65.14, \"poblacion_femenina_ocupada_total\": 536016, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 349139, \"porcentaje\": 65.14, \"ocupada_total\": 536016, \"ocupada_prestaciones\": 349139}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.52, \"poblacion_femenina_ocupada_total\": 1774959, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 932125, \"porcentaje\": 52.52, \"ocupada_total\": 1774959, \"ocupada_prestaciones\": 932125}, {\"entidad_federativa\": \"Durango\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 47.88, \"poblacion_femenina_ocupada_total\": 258841, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 123944, \"porcentaje\": 47.88, \"ocupada_total\": 258841, \"ocupada_prestaciones\": 123944}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 49.28, \"poblacion_femenina_ocupada_total\": 935112, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 460808, \"porcentaje\": 49.28, \"ocupada_total\": 935112, \"ocupada_prestaciones\": 460808}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 23.53, \"poblacion_femenina_ocupada_total\": 527215, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 124073, \"porcentaje\": 23.53, \"ocupada_total\": 527215, \"ocupada_prestaciones\": 124073}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 34.7, \"poblacion_femenina_ocupada_total\": 446464, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 154929, \"porcentaje\": 34.7, \"ocupada_total\": 446464, \"ocupada_prestaciones\": 154929}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.07, \"poblacion_femenina_ocupada_total\": 1317342, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 672784, \"porcentaje\": 51.07, \"ocupada_total\": 1317342, \"ocupada_prestaciones\": 672784}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 38.07, \"poblacion_femenina_ocupada_total\": 2456580, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 935195, \"porcentaje\": 38.07, \"ocupada_total\": 2456580, \"ocupada_prestaciones\": 935195}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 28.39, \"poblacion_femenina_ocupada_total\": 702087, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 199333, \"porcentaje\": 28.39, \"ocupada_total\": 702087, \"ocupada_prestaciones\": 199333}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 32.5, \"poblacion_femenina_ocupada_total\": 322413, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 104772, \"porcentaje\": 32.5, \"ocupada_total\": 322413, \"ocupada_prestaciones\": 104772}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.56, \"poblacion_femenina_ocupada_total\": 209029, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 86867, \"porcentaje\": 41.56, \"ocupada_total\": 209029, \"ocupada_prestaciones\": 86867}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 62.33, \"poblacion_femenina_ocupada_total\": 809811, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 504795, \"porcentaje\": 62.33, \"ocupada_total\": 809811, \"ocupada_prestaciones\": 504795}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 20.45, \"poblacion_femenina_ocupada_total\": 636346, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 130157, \"porcentaje\": 20.45, \"ocupada_total\": 636346, \"ocupada_prestaciones\": 130157}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.61, \"poblacion_femenina_ocupada_total\": 994294, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 264617, \"porcentaje\": 26.61, \"ocupada_total\": 994294, \"ocupada_prestaciones\": 264617}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.12, \"poblacion_femenina_ocupada_total\": 281863, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 152550, \"porcentaje\": 54.12, \"ocupada_total\": 281863, \"ocupada_prestaciones\": 152550}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.5, \"poblacion_femenina_ocupada_total\": 262558, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 148351, \"porcentaje\": 56.5, \"ocupada_total\": 262558, \"ocupada_prestaciones\": 148351}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.88, \"poblacion_femenina_ocupada_total\": 399252, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 167190, \"porcentaje\": 41.88, \"ocupada_total\": 399252, \"ocupada_prestaciones\": 167190}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.08, \"poblacion_femenina_ocupada_total\": 514054, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 272844, \"porcentaje\": 53.08, \"ocupada_total\": 514054, \"ocupada_prestaciones\": 272844}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.99, \"poblacion_femenina_ocupada_total\": 526998, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 289803, \"porcentaje\": 54.99, \"ocupada_total\": 526998, \"ocupada_prestaciones\": 289803}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.15, \"poblacion_femenina_ocupada_total\": 322961, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 136134, \"porcentaje\": 42.15, \"ocupada_total\": 322961, \"ocupada_prestaciones\": 136134}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.92, \"poblacion_femenina_ocupada_total\": 572203, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 314268, \"porcentaje\": 54.92, \"ocupada_total\": 572203, \"ocupada_prestaciones\": 314268}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.69, \"poblacion_femenina_ocupada_total\": 203174, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 60315, \"porcentaje\": 29.69, \"ocupada_total\": 203174, \"ocupada_prestaciones\": 60315}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 32.63, \"poblacion_femenina_ocupada_total\": 1018291, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 332307, \"porcentaje\": 32.63, \"ocupada_total\": 1018291, \"ocupada_prestaciones\": 332307}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 45.67, \"poblacion_femenina_ocupada_total\": 371840, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 169815, \"porcentaje\": 45.67, \"ocupada_total\": 371840, \"ocupada_prestaciones\": 169815}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2014, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 38.35, \"poblacion_femenina_ocupada_total\": 213485, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 81877, \"porcentaje\": 38.35, \"ocupada_total\": 213485, \"ocupada_prestaciones\": 81877}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.2, \"poblacion_femenina_ocupada_total\": 201136, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 113030, \"porcentaje\": 56.2, \"ocupada_total\": 201136, \"ocupada_prestaciones\": 113030}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.12, \"poblacion_femenina_ocupada_total\": 595333, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 345993, \"porcentaje\": 58.12, \"ocupada_total\": 595333, \"ocupada_prestaciones\": 345993}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.37, \"poblacion_femenina_ocupada_total\": 141528, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 79779, \"porcentaje\": 56.37, \"ocupada_total\": 141528, \"ocupada_prestaciones\": 79779}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.53, \"poblacion_femenina_ocupada_total\": 145349, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 58912, \"porcentaje\": 40.53, \"ocupada_total\": 145349, \"ocupada_prestaciones\": 58912}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.65, \"poblacion_femenina_ocupada_total\": 469770, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 299017, \"porcentaje\": 63.65, \"ocupada_total\": 469770, \"ocupada_prestaciones\": 299017}, {\"entidad_federativa\": \"Colima\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 45.24, \"poblacion_femenina_ocupada_total\": 143367, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 64859, \"porcentaje\": 45.24, \"ocupada_total\": 143367, \"ocupada_prestaciones\": 64859}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 28.8, \"poblacion_femenina_ocupada_total\": 570427, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 164280, \"porcentaje\": 28.8, \"ocupada_total\": 570427, \"ocupada_prestaciones\": 164280}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.25, \"poblacion_femenina_ocupada_total\": 578468, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 365889, \"porcentaje\": 63.25, \"ocupada_total\": 578468, \"ocupada_prestaciones\": 365889}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.77, \"poblacion_femenina_ocupada_total\": 1780937, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 939804, \"porcentaje\": 52.77, \"ocupada_total\": 1780937, \"ocupada_prestaciones\": 939804}, {\"entidad_federativa\": \"Durango\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.6, \"poblacion_femenina_ocupada_total\": 274795, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 117059, \"porcentaje\": 42.6, \"ocupada_total\": 274795, \"ocupada_prestaciones\": 117059}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 50.16, \"poblacion_femenina_ocupada_total\": 965831, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 484462, \"porcentaje\": 50.16, \"ocupada_total\": 965831, \"ocupada_prestaciones\": 484462}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 20.2, \"poblacion_femenina_ocupada_total\": 551411, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 111382, \"porcentaje\": 20.2, \"ocupada_total\": 551411, \"ocupada_prestaciones\": 111382}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.38, \"poblacion_femenina_ocupada_total\": 497098, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 150995, \"porcentaje\": 30.38, \"ocupada_total\": 497098, \"ocupada_prestaciones\": 150995}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.5, \"poblacion_femenina_ocupada_total\": 1413477, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 742010, \"porcentaje\": 52.5, \"ocupada_total\": 1413477, \"ocupada_prestaciones\": 742010}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.04, \"poblacion_femenina_ocupada_total\": 2837896, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 1108056, \"porcentaje\": 39.04, \"ocupada_total\": 2837896, \"ocupada_prestaciones\": 1108056}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 28.22, \"poblacion_femenina_ocupada_total\": 704414, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 198776, \"porcentaje\": 28.22, \"ocupada_total\": 704414, \"ocupada_prestaciones\": 198776}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 32.64, \"poblacion_femenina_ocupada_total\": 307547, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 100369, \"porcentaje\": 32.64, \"ocupada_total\": 307547, \"ocupada_prestaciones\": 100369}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 44.09, \"poblacion_femenina_ocupada_total\": 225118, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 99257, \"porcentaje\": 44.09, \"ocupada_total\": 225118, \"ocupada_prestaciones\": 99257}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.42, \"poblacion_femenina_ocupada_total\": 840625, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 533159, \"porcentaje\": 63.42, \"ocupada_total\": 840625, \"ocupada_prestaciones\": 533159}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 18.05, \"poblacion_femenina_ocupada_total\": 665218, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 120079, \"porcentaje\": 18.05, \"ocupada_total\": 665218, \"ocupada_prestaciones\": 120079}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 24.03, \"poblacion_femenina_ocupada_total\": 1008687, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 242391, \"porcentaje\": 24.03, \"ocupada_total\": 1008687, \"ocupada_prestaciones\": 242391}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.21, \"poblacion_femenina_ocupada_total\": 308761, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 161209, \"porcentaje\": 52.21, \"ocupada_total\": 308761, \"ocupada_prestaciones\": 161209}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.75, \"poblacion_femenina_ocupada_total\": 292258, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 151230, \"porcentaje\": 51.75, \"ocupada_total\": 292258, \"ocupada_prestaciones\": 151230}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.69, \"poblacion_femenina_ocupada_total\": 429199, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 170358, \"porcentaje\": 39.69, \"ocupada_total\": 429199, \"ocupada_prestaciones\": 170358}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 51.96, \"poblacion_femenina_ocupada_total\": 498998, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 259291, \"porcentaje\": 51.96, \"ocupada_total\": 498998, \"ocupada_prestaciones\": 259291}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.36, \"poblacion_femenina_ocupada_total\": 532146, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 278627, \"porcentaje\": 52.36, \"ocupada_total\": 532146, \"ocupada_prestaciones\": 278627}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 44.86, \"poblacion_femenina_ocupada_total\": 338045, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 151640, \"porcentaje\": 44.86, \"ocupada_total\": 338045, \"ocupada_prestaciones\": 151640}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.26, \"poblacion_femenina_ocupada_total\": 616643, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 334613, \"porcentaje\": 54.26, \"ocupada_total\": 616643, \"ocupada_prestaciones\": 334613}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.13, \"poblacion_femenina_ocupada_total\": 214765, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 64703, \"porcentaje\": 30.13, \"ocupada_total\": 214765, \"ocupada_prestaciones\": 64703}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 33.51, \"poblacion_femenina_ocupada_total\": 1061517, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 355673, \"porcentaje\": 33.51, \"ocupada_total\": 1061517, \"ocupada_prestaciones\": 355673}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.82, \"poblacion_femenina_ocupada_total\": 386277, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 169276, \"porcentaje\": 43.82, \"ocupada_total\": 386277, \"ocupada_prestaciones\": 169276}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2015, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 36.79, \"poblacion_femenina_ocupada_total\": 213702, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 78614, \"porcentaje\": 36.79, \"ocupada_total\": 213702, \"ocupada_prestaciones\": 78614}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.26, \"poblacion_femenina_ocupada_total\": 214972, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 118799, \"porcentaje\": 55.26, \"ocupada_total\": 214972, \"ocupada_prestaciones\": 118799}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 61.71, \"poblacion_femenina_ocupada_total\": 633500, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 390939, \"porcentaje\": 61.71, \"ocupada_total\": 633500, \"ocupada_prestaciones\": 390939}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.68, \"poblacion_femenina_ocupada_total\": 143289, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 81212, \"porcentaje\": 56.68, \"ocupada_total\": 143289, \"ocupada_prestaciones\": 81212}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.09, \"poblacion_femenina_ocupada_total\": 140434, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 57699, \"porcentaje\": 41.09, \"ocupada_total\": 140434, \"ocupada_prestaciones\": 57699}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.98, \"poblacion_femenina_ocupada_total\": 478648, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 306218, \"porcentaje\": 63.98, \"ocupada_total\": 478648, \"ocupada_prestaciones\": 306218}, {\"entidad_federativa\": \"Colima\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 47.56, \"poblacion_femenina_ocupada_total\": 144522, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 68729, \"porcentaje\": 47.56, \"ocupada_total\": 144522, \"ocupada_prestaciones\": 68729}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.24, \"poblacion_femenina_ocupada_total\": 538766, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 157532, \"porcentaje\": 29.24, \"ocupada_total\": 538766, \"ocupada_prestaciones\": 157532}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 64.27, \"poblacion_femenina_ocupada_total\": 612118, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 393413, \"porcentaje\": 64.27, \"ocupada_total\": 612118, \"ocupada_prestaciones\": 393413}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.54, \"poblacion_femenina_ocupada_total\": 1783953, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 990749, \"porcentaje\": 55.54, \"ocupada_total\": 1783953, \"ocupada_prestaciones\": 990749}, {\"entidad_federativa\": \"Durango\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 48.45, \"poblacion_femenina_ocupada_total\": 280623, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 135958, \"porcentaje\": 48.45, \"ocupada_total\": 280623, \"ocupada_prestaciones\": 135958}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.22, \"poblacion_femenina_ocupada_total\": 984242, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 513975, \"porcentaje\": 52.22, \"ocupada_total\": 984242, \"ocupada_prestaciones\": 513975}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 25.81, \"poblacion_femenina_ocupada_total\": 516686, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 133342, \"porcentaje\": 25.81, \"ocupada_total\": 516686, \"ocupada_prestaciones\": 133342}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 35.58, \"poblacion_femenina_ocupada_total\": 459178, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 163376, \"porcentaje\": 35.58, \"ocupada_total\": 459178, \"ocupada_prestaciones\": 163376}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.6, \"poblacion_femenina_ocupada_total\": 1408458, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 740859, \"porcentaje\": 52.6, \"ocupada_total\": 1408458, \"ocupada_prestaciones\": 740859}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.27, \"poblacion_femenina_ocupada_total\": 2751069, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 1190440, \"porcentaje\": 43.27, \"ocupada_total\": 2751069, \"ocupada_prestaciones\": 1190440}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.6, \"poblacion_femenina_ocupada_total\": 729116, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 193929, \"porcentaje\": 26.6, \"ocupada_total\": 729116, \"ocupada_prestaciones\": 193929}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 32.97, \"poblacion_femenina_ocupada_total\": 319498, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 105332, \"porcentaje\": 32.97, \"ocupada_total\": 319498, \"ocupada_prestaciones\": 105332}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.38, \"poblacion_femenina_ocupada_total\": 230743, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 100100, \"porcentaje\": 43.38, \"ocupada_total\": 230743, \"ocupada_prestaciones\": 100100}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.72, \"poblacion_femenina_ocupada_total\": 872586, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 556054, \"porcentaje\": 63.72, \"ocupada_total\": 872586, \"ocupada_prestaciones\": 556054}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 17.84, \"poblacion_femenina_ocupada_total\": 675479, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 120476, \"porcentaje\": 17.84, \"ocupada_total\": 675479, \"ocupada_prestaciones\": 120476}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 24.95, \"poblacion_femenina_ocupada_total\": 1046972, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 261215, \"porcentaje\": 24.95, \"ocupada_total\": 1046972, \"ocupada_prestaciones\": 261215}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.28, \"poblacion_femenina_ocupada_total\": 293210, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 162076, \"porcentaje\": 55.28, \"ocupada_total\": 293210, \"ocupada_prestaciones\": 162076}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.75, \"poblacion_femenina_ocupada_total\": 294893, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 158503, \"porcentaje\": 53.75, \"ocupada_total\": 294893, \"ocupada_prestaciones\": 158503}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.02, \"poblacion_femenina_ocupada_total\": 436198, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 174568, \"porcentaje\": 40.02, \"ocupada_total\": 436198, \"ocupada_prestaciones\": 174568}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.52, \"poblacion_femenina_ocupada_total\": 528635, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 282926, \"porcentaje\": 53.52, \"ocupada_total\": 528635, \"ocupada_prestaciones\": 282926}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.47, \"poblacion_femenina_ocupada_total\": 531972, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 284450, \"porcentaje\": 53.47, \"ocupada_total\": 531972, \"ocupada_prestaciones\": 284450}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 37.86, \"poblacion_femenina_ocupada_total\": 334965, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 126834, \"porcentaje\": 37.86, \"ocupada_total\": 334965, \"ocupada_prestaciones\": 126834}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.29, \"poblacion_femenina_ocupada_total\": 630148, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 335809, \"porcentaje\": 53.29, \"ocupada_total\": 630148, \"ocupada_prestaciones\": 335809}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.55, \"poblacion_femenina_ocupada_total\": 221274, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 65392, \"porcentaje\": 29.55, \"ocupada_total\": 221274, \"ocupada_prestaciones\": 65392}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 33.94, \"poblacion_femenina_ocupada_total\": 1034328, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 351060, \"porcentaje\": 33.94, \"ocupada_total\": 1034328, \"ocupada_prestaciones\": 351060}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 47.05, \"poblacion_femenina_ocupada_total\": 413736, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 194662, \"porcentaje\": 47.05, \"ocupada_total\": 413736, \"ocupada_prestaciones\": 194662}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2016, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.26, \"poblacion_femenina_ocupada_total\": 223332, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 94372, \"porcentaje\": 42.26, \"ocupada_total\": 223332, \"ocupada_prestaciones\": 94372}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.72, \"poblacion_femenina_ocupada_total\": 210959, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 119651, \"porcentaje\": 56.72, \"ocupada_total\": 210959, \"ocupada_prestaciones\": 119651}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 61.65, \"poblacion_femenina_ocupada_total\": 640915, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 395118, \"porcentaje\": 61.65, \"ocupada_total\": 640915, \"ocupada_prestaciones\": 395118}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 57.35, \"poblacion_femenina_ocupada_total\": 148360, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 85089, \"porcentaje\": 57.35, \"ocupada_total\": 148360, \"ocupada_prestaciones\": 85089}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 39.83, \"poblacion_femenina_ocupada_total\": 152030, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 60553, \"porcentaje\": 39.83, \"ocupada_total\": 152030, \"ocupada_prestaciones\": 60553}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.64, \"poblacion_femenina_ocupada_total\": 468392, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 298105, \"porcentaje\": 63.64, \"ocupada_total\": 468392, \"ocupada_prestaciones\": 298105}, {\"entidad_federativa\": \"Colima\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 46.74, \"poblacion_femenina_ocupada_total\": 154557, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 72240, \"porcentaje\": 46.74, \"ocupada_total\": 154557, \"ocupada_prestaciones\": 72240}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.76, \"poblacion_femenina_ocupada_total\": 505445, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 135270, \"porcentaje\": 26.76, \"ocupada_total\": 505445, \"ocupada_prestaciones\": 135270}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 67.91, \"poblacion_femenina_ocupada_total\": 636823, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 432446, \"porcentaje\": 67.91, \"ocupada_total\": 636823, \"ocupada_prestaciones\": 432446}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.18, \"poblacion_femenina_ocupada_total\": 1885149, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 1040306, \"porcentaje\": 55.18, \"ocupada_total\": 1885149, \"ocupada_prestaciones\": 1040306}, {\"entidad_federativa\": \"Durango\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 50.5, \"poblacion_femenina_ocupada_total\": 283267, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 143054, \"porcentaje\": 50.5, \"ocupada_total\": 283267, \"ocupada_prestaciones\": 143054}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.31, \"poblacion_femenina_ocupada_total\": 956992, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 510200, \"porcentaje\": 53.31, \"ocupada_total\": 956992, \"ocupada_prestaciones\": 510200}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 22.96, \"poblacion_femenina_ocupada_total\": 564414, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 129612, \"porcentaje\": 22.96, \"ocupada_total\": 564414, \"ocupada_prestaciones\": 129612}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 24.54, \"poblacion_femenina_ocupada_total\": 451488, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 110788, \"porcentaje\": 24.54, \"ocupada_total\": 451488, \"ocupada_prestaciones\": 110788}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.09, \"poblacion_femenina_ocupada_total\": 1451541, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 785125, \"porcentaje\": 54.09, \"ocupada_total\": 1451541, \"ocupada_prestaciones\": 785125}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.13, \"poblacion_femenina_ocupada_total\": 2870963, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 1209634, \"porcentaje\": 42.13, \"ocupada_total\": 2870963, \"ocupada_prestaciones\": 1209634}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 27.98, \"poblacion_femenina_ocupada_total\": 719936, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 201406, \"porcentaje\": 27.98, \"ocupada_total\": 719936, \"ocupada_prestaciones\": 201406}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 35.12, \"poblacion_femenina_ocupada_total\": 320270, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 112469, \"porcentaje\": 35.12, \"ocupada_total\": 320270, \"ocupada_prestaciones\": 112469}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.34, \"poblacion_femenina_ocupada_total\": 237266, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 100460, \"porcentaje\": 42.34, \"ocupada_total\": 237266, \"ocupada_prestaciones\": 100460}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.91, \"poblacion_femenina_ocupada_total\": 887201, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 566966, \"porcentaje\": 63.91, \"ocupada_total\": 887201, \"ocupada_prestaciones\": 566966}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 19.47, \"poblacion_femenina_ocupada_total\": 642047, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 125035, \"porcentaje\": 19.47, \"ocupada_total\": 642047, \"ocupada_prestaciones\": 125035}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 24.7, \"poblacion_femenina_ocupada_total\": 1087312, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 268566, \"porcentaje\": 24.7, \"ocupada_total\": 1087312, \"ocupada_prestaciones\": 268566}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.68, \"poblacion_femenina_ocupada_total\": 297620, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 159763, \"porcentaje\": 53.68, \"ocupada_total\": 297620, \"ocupada_prestaciones\": 159763}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.7, \"poblacion_femenina_ocupada_total\": 299356, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 169732, \"porcentaje\": 56.7, \"ocupada_total\": 299356, \"ocupada_prestaciones\": 169732}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.88, \"poblacion_femenina_ocupada_total\": 435486, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 186723, \"porcentaje\": 42.88, \"ocupada_total\": 435486, \"ocupada_prestaciones\": 186723}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.92, \"poblacion_femenina_ocupada_total\": 524511, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 282842, \"porcentaje\": 53.92, \"ocupada_total\": 524511, \"ocupada_prestaciones\": 282842}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.53, \"poblacion_femenina_ocupada_total\": 539849, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 288956, \"porcentaje\": 53.53, \"ocupada_total\": 539849, \"ocupada_prestaciones\": 288956}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.74, \"poblacion_femenina_ocupada_total\": 311411, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 126855, \"porcentaje\": 40.74, \"ocupada_total\": 311411, \"ocupada_prestaciones\": 126855}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.48, \"poblacion_femenina_ocupada_total\": 602729, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 334414, \"porcentaje\": 55.48, \"ocupada_total\": 602729, \"ocupada_prestaciones\": 334414}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.13, \"poblacion_femenina_ocupada_total\": 222540, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 67048, \"porcentaje\": 30.13, \"ocupada_total\": 222540, \"ocupada_prestaciones\": 67048}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 33.15, \"poblacion_femenina_ocupada_total\": 1036980, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 343750, \"porcentaje\": 33.15, \"ocupada_total\": 1036980, \"ocupada_prestaciones\": 343750}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 45.91, \"poblacion_femenina_ocupada_total\": 410888, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 188619, \"porcentaje\": 45.91, \"ocupada_total\": 410888, \"ocupada_prestaciones\": 188619}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2017, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 44.31, \"poblacion_femenina_ocupada_total\": 226273, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 100269, \"porcentaje\": 44.31, \"ocupada_total\": 226273, \"ocupada_prestaciones\": 100269}, {\"entidad_federativa\": \"Aguascalientes\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 57.96, \"poblacion_femenina_ocupada_total\": 216647, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 125564, \"porcentaje\": 57.96, \"ocupada_total\": 216647, \"ocupada_prestaciones\": 125564}, {\"entidad_federativa\": \"Baja California\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 61.69, \"poblacion_femenina_ocupada_total\": 684722, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 422424, \"porcentaje\": 61.69, \"ocupada_total\": 684722, \"ocupada_prestaciones\": 422424}, {\"entidad_federativa\": \"Baja California Sur\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.97, \"poblacion_femenina_ocupada_total\": 165086, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 97348, \"porcentaje\": 58.97, \"ocupada_total\": 165086, \"ocupada_prestaciones\": 97348}, {\"entidad_federativa\": \"Campeche\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 41.31, \"poblacion_femenina_ocupada_total\": 154430, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 63799, \"porcentaje\": 41.31, \"ocupada_total\": 154430, \"ocupada_prestaciones\": 63799}, {\"entidad_federativa\": \"Coahuila de Zaragoza\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 67.08, \"poblacion_femenina_ocupada_total\": 519777, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 348683, \"porcentaje\": 67.08, \"ocupada_total\": 519777, \"ocupada_prestaciones\": 348683}, {\"entidad_federativa\": \"Colima\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 46.35, \"poblacion_femenina_ocupada_total\": 161254, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 74740, \"porcentaje\": 46.35, \"ocupada_total\": 161254, \"ocupada_prestaciones\": 74740}, {\"entidad_federativa\": \"Chiapas\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 30.58, \"poblacion_femenina_ocupada_total\": 511678, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 156471, \"porcentaje\": 30.58, \"ocupada_total\": 511678, \"ocupada_prestaciones\": 156471}, {\"entidad_federativa\": \"Chihuahua\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 65.06, \"poblacion_femenina_ocupada_total\": 702943, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 457345, \"porcentaje\": 65.06, \"ocupada_total\": 702943, \"ocupada_prestaciones\": 457345}, {\"entidad_federativa\": \"Ciudad de M\\u00e9xico\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.76, \"poblacion_femenina_ocupada_total\": 1852772, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 996096, \"porcentaje\": 53.76, \"ocupada_total\": 1852772, \"ocupada_prestaciones\": 996096}, {\"entidad_federativa\": \"Durango\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 52.93, \"poblacion_femenina_ocupada_total\": 290743, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 153891, \"porcentaje\": 52.93, \"ocupada_total\": 290743, \"ocupada_prestaciones\": 153891}, {\"entidad_federativa\": \"Guanajuato\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.02, \"poblacion_femenina_ocupada_total\": 971026, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 514796, \"porcentaje\": 53.02, \"ocupada_total\": 971026, \"ocupada_prestaciones\": 514796}, {\"entidad_federativa\": \"Guerrero\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 21.25, \"poblacion_femenina_ocupada_total\": 605024, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 128571, \"porcentaje\": 21.25, \"ocupada_total\": 605024, \"ocupada_prestaciones\": 128571}, {\"entidad_federativa\": \"Hidalgo\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 26.73, \"poblacion_femenina_ocupada_total\": 499328, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 133486, \"porcentaje\": 26.73, \"ocupada_total\": 499328, \"ocupada_prestaciones\": 133486}, {\"entidad_federativa\": \"Jalisco\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.01, \"poblacion_femenina_ocupada_total\": 1459383, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 788266, \"porcentaje\": 54.01, \"ocupada_total\": 1459383, \"ocupada_prestaciones\": 788266}, {\"entidad_federativa\": \"M\\u00e9xico\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 38.98, \"poblacion_femenina_ocupada_total\": 2938497, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 1145460, \"porcentaje\": 38.98, \"ocupada_total\": 2938497, \"ocupada_prestaciones\": 1145460}, {\"entidad_federativa\": \"Michoac\\u00e1n de Ocampo\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 28.96, \"poblacion_femenina_ocupada_total\": 748277, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 216735, \"porcentaje\": 28.96, \"ocupada_total\": 748277, \"ocupada_prestaciones\": 216735}, {\"entidad_federativa\": \"Morelos\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 32.23, \"poblacion_femenina_ocupada_total\": 310127, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 99962, \"porcentaje\": 32.23, \"ocupada_total\": 310127, \"ocupada_prestaciones\": 99962}, {\"entidad_federativa\": \"Nayarit\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 42.53, \"poblacion_femenina_ocupada_total\": 245016, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 104217, \"porcentaje\": 42.53, \"ocupada_total\": 245016, \"ocupada_prestaciones\": 104217}, {\"entidad_federativa\": \"Nuevo Le\\u00f3n\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 63.73, \"poblacion_femenina_ocupada_total\": 925633, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 589930, \"porcentaje\": 63.73, \"ocupada_total\": 925633, \"ocupada_prestaciones\": 589930}, {\"entidad_federativa\": \"Oaxaca\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 17.43, \"poblacion_femenina_ocupada_total\": 708240, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 123476, \"porcentaje\": 17.43, \"ocupada_total\": 708240, \"ocupada_prestaciones\": 123476}, {\"entidad_federativa\": \"Puebla\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 25.8, \"poblacion_femenina_ocupada_total\": 1111241, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 286668, \"porcentaje\": 25.8, \"ocupada_total\": 1111241, \"ocupada_prestaciones\": 286668}, {\"entidad_federativa\": \"Quer\\u00e9taro\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 53.27, \"poblacion_femenina_ocupada_total\": 319247, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 170052, \"porcentaje\": 53.27, \"ocupada_total\": 319247, \"ocupada_prestaciones\": 170052}, {\"entidad_federativa\": \"Quintana Roo\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 54.25, \"poblacion_femenina_ocupada_total\": 320516, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 173872, \"porcentaje\": 54.25, \"ocupada_total\": 320516, \"ocupada_prestaciones\": 173872}, {\"entidad_federativa\": \"San Luis Potos\\u00ed\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 46.35, \"poblacion_femenina_ocupada_total\": 428397, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 198561, \"porcentaje\": 46.35, \"ocupada_total\": 428397, \"ocupada_prestaciones\": 198561}, {\"entidad_federativa\": \"Sinaloa\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 55.58, \"poblacion_femenina_ocupada_total\": 533006, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 296228, \"porcentaje\": 55.58, \"ocupada_total\": 533006, \"ocupada_prestaciones\": 296228}, {\"entidad_federativa\": \"Sonora\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 56.24, \"poblacion_femenina_ocupada_total\": 573446, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 322504, \"porcentaje\": 56.24, \"ocupada_total\": 573446, \"ocupada_prestaciones\": 322504}, {\"entidad_federativa\": \"Tabasco\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 40.12, \"poblacion_femenina_ocupada_total\": 344993, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 138413, \"porcentaje\": 40.12, \"ocupada_total\": 344993, \"ocupada_prestaciones\": 138413}, {\"entidad_federativa\": \"Tamaulipas\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 58.36, \"poblacion_femenina_ocupada_total\": 625675, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 365136, \"porcentaje\": 58.36, \"ocupada_total\": 625675, \"ocupada_prestaciones\": 365136}, {\"entidad_federativa\": \"Tlaxcala\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 29.35, \"poblacion_femenina_ocupada_total\": 233102, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 68408, \"porcentaje\": 29.35, \"ocupada_total\": 233102, \"ocupada_prestaciones\": 68408}, {\"entidad_federativa\": \"Veracruz de Ignacio de la Llave\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 31.36, \"poblacion_femenina_ocupada_total\": 1088038, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 341184, \"porcentaje\": 31.36, \"ocupada_total\": 1088038, \"ocupada_prestaciones\": 341184}, {\"entidad_federativa\": \"Yucat\\u00e1n\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 43.12, \"poblacion_femenina_ocupada_total\": 436665, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 188287, \"porcentaje\": 43.12, \"ocupada_total\": 436665, \"ocupada_prestaciones\": 188287}, {\"entidad_federativa\": \"Zacatecas\", \"ano\": 2018, \"trimestre\": 4, \"porcentaje_de_mujeres_ocupadas_con_prestaciones_laborales\": 45.47, \"poblacion_femenina_ocupada_total\": 223127, \"poblacion_femenina_ocupada_con_prestaciones_laborales_total\": 101458, \"porcentaje\": 45.47, \"ocupada_total\": 223127, \"ocupada_prestaciones\": 101458}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x-S1epahuxDp"
      },
      "source": [
        ">La diferencia es extremadamente notoria"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VYkYlVOlx5D-"
      },
      "source": [
        "![descarga.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-N1nInTxu0io"
      },
      "source": [
        "##Conclusiones"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZKveoDQ-u7RP"
      },
      "source": [
        "*   A pesar de que las mujeres parecen ganar más en algunos estados o entidades federativas, con la información de las prestaciones laborales, se evidencía que estos son lugares donde las prestaciones las tienen menos del 30% de las mujeres, además influiría la relación de existencia entre hombres y mujeres para poder decir que en dichos estados les va bien, lo cual no es cierto.\n",
        "*   En entidades más hacia el norte, como Nuevo León, Coahuila y Chihuahua, las prestaciones dan mejores oportunidades, pero son también lugares donde los hombres suelen percibir mayores ingresos que las mujeres.\n",
        "*   De manera general, en México las prestaciones laborales no parecen ser muy favorecedoras, al menos para las mujeres.\n",
        "*   El cambio en el tiempo parece no ser un factor para poder cerrar la brecha, ya que no se identifica una tendencia.\n",
        "*   Las mujeres no requieren únicamente ganar lo mismo, sino que hace falta de más oportunidades de trabajo con prestaciones laborales y eso es independientemente de la igualdad de género, pues en el país parece no ser mayor al 50%.\n",
        "*   Estados más hacia el sur son aquéllos donde \"Las mujeres ganan más que los hombres\", pero también es donde hay menos prestaciones. Es importante considerar además, que es de estos estados de donde se estima hay más emigraciones, por lo que tiene sentido que las mujeres ganen más (hay más).\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FXs7CtISxt3l"
      },
      "source": [
        "![160ebf29-c98c-41cb-b7f9-e65c7a94ad6c.jpg](data:image/jpeg;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "19qL1an6u4vS"
      },
      "source": [
        "##Referencias"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J_iEiaZcxEs-"
      },
      "source": [
        "\n",
        "\n",
        "*   https://www.inegi.org.mx/contenidos/datosgob/tdr03_muj_ocup_prest_lab.csv\n",
        "*   https://www.inegi.org.mx/contenidos/datosgob/tdr05_brecha_hom_muj.csv\n"
      ]
    }
  ]
}