100+ datasets found
  1. Business Data Mexico / Company B2B Data Mexico ( Full Coverage)

    • datarade.ai
    Updated Feb 18, 2022
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    Techsalerator (2022). Business Data Mexico / Company B2B Data Mexico ( Full Coverage) [Dataset]. https://datarade.ai/data-products/1-7-million-companies-in-mexico-full-coverage-techsalerator
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 18, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Mexico
    Description

    With 1.7 Million Businesses in Mexico , Techsalerator has access to the highest B2B count of Data/Business Data in the country.

    Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

    We cover all regions and cities in the country: Aguascalientes Aguascalientes Baja California Ensenada Mexicali Tijuana Baja California Sur La Paz Campeche Campeche Chiapas Comitán San Cristóbal de Las Casas Tapachula Tuxtla Chihuahua Casas Grandes Chihuahua Ciudad Delicias Hidalgo del Parral Juárez Nuevo Casas Grandes Coahuila Ciudad Acuña Monclova Múzquiz Nueva Rosita Piedras Negras Sabinas Saltillo San Pedro Torreón Villa Frontera Colima Colima Manzanillo Tecomán Durango Durango Gómez Palacio Federal District (administrative district) Atzcapotzalco (delegación) Churubusco (neighbourhood) Coyoacán (delegación) Magdalena (delegación) Mexico City Tlalpan (delegación) Villa Obregón (delegación) Xochimilco (delegación) Guanajuato Acámbaro Celaya Cortazar Guanajuato Irapuato León Moroleón Salamanca San Francisco del Rincón San Miguel de Allende Silao Valle de Santiago Guerrero Acapulco Chilpancingo Iguala Taxco Hidalgo Pachuca Tulancingo Jalisco Ameca Arandas Autlán Ciudad Guzmán Guadalajara La Barca Ocotlán Puerto Vallarta Tepatitlán Tlaquepaque Zapopan México Nezahualcóyotl Tlalnepantla Toluca Michoacán Apatzingán Ciudad Hidalgo La Piedad Cavadas Morelia Sahuayo Uruapan Zacapú Zamora Zitácuaro Morelos Cuernavaca Xochicalco Nayarit Tepic Nuevo León Guadalupe Monterrey Oaxaca Juchitán Oaxaca Puebla Atlixco Cholula Matamoros Puebla Teziutlán Querétaro Querétaro Quintana Roo Cancún Chetumal San Luis Potosí Matehuala San Luis Potosí Valles Sinaloa Culiacán Los Mochis Mazatlán Sonora Ciudad Obregón Guaymas Hermosillo Navojoa Nogales San Luis Tabasco Villahermosa Tamaulipas Ciudad Mante Ciudad Victoria Matamoros Nuevo Laredo Reynosa Tampico Tlaxcala Apizaco Tlaxcala Veracruz Ciudad Mendoza Coatzacoalcos Córdoba Cosamaloapan Minatitlán Orizaba Papantla Poza Rica San Andrés Tuxtla Tierra Blanca Tuxpan Veracruz Xalapa Yucatán Mérida Progreso Zacatecas Fresnillo Jerez de García Salinas Zacatecas

  2. Mexico MX: Number of Births

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico MX: Number of Births [Dataset]. https://www.ceicdata.com/en/mexico/demographic-projection/mx-number-of-births
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    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2039 - Jun 1, 2050
    Area covered
    Mexico
    Variables measured
    Population
    Description

    Mexico MX: Number of Births data was reported at 1,692,379.000 Person in 2050. This records a decrease from the previous number of 1,715,380.000 Person for 2049. Mexico MX: Number of Births data is updated yearly, averaging 2,279,719.000 Person from Jun 1980 (Median) to 2050, with 71 observations. The data reached an all-time high of 2,424,949.000 Person in 1994 and a record low of 1,692,379.000 Person in 2050. Mexico MX: Number of Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Mexico – Table MX.US Census Bureau: Demographic Projection.

  3. Mexico MX: Expenditure: Subsidies and Other Transfers: % of Expenditure

    • ceicdata.com
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    CEICdata.com, Mexico MX: Expenditure: Subsidies and Other Transfers: % of Expenditure [Dataset]. https://www.ceicdata.com/en/mexico/government-revenue-expenditure-and-finance/mx-expenditure-subsidies-and-other-transfers--of-expenditure
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Operating Statement
    Description

    Mexico MX: Expenditure: Subsidies and Other Transfers: % of Expenditure data was reported at 63.588 % in 2017. This records a decrease from the previous number of 64.256 % for 2016. Mexico MX: Expenditure: Subsidies and Other Transfers: % of Expenditure data is updated yearly, averaging 61.965 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 64.452 % in 2015 and a record low of 55.348 % in 2008. Mexico MX: Expenditure: Subsidies and Other Transfers: % of Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Government Revenue, Expenditure and Finance. Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files.; Median;

  4. H

    Mexico, Evaluation of PROGRESA

    • dataverse.harvard.edu
    Updated Jul 9, 2012
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    Harvard Dataverse (2012). Mexico, Evaluation of PROGRESA [Dataset]. http://doi.org/10.7910/DVN/05BMJY
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 9, 2012
    Dataset provided by
    Harvard Dataverse
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/05BMJYhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/05BMJY

    Area covered
    Mexico
    Description

    This dataset is available on the Oportunidades website at http://evaluacion.oportunidades.gob.mx:8010/en/index.php. Registration is required to access the data. For Registration, please visit http://evaluacion.oportunidades.gob.mx:8010/en/index.php and click Sign up on the right side of the page. You also may Email (evaluacion@oportunidades.g ob.mx) or Call (01-800-500-50-50) during regular business hours local (Mexico) time. NOTE: The 1999 quantitative evaluation of rural areas was done by the International Food Policy Research Institute (IFPRI) and the results of that evaluation were published in 2000 at http://evaluacion.oportunidades.gob.mx:8010/en/docs/eval_docs_2000.php. The later evaluations were transferred to the National Institute of Public Health (INSP), Social Anthropology Research and Higher Studies Center (CI ESAS), and Centro de Investigación y Docencia Económicas (CIDE). To view a particular evaluation document from 1999 and until 2007, select the year in the menu on the left at http://evaluacion.oportunidades.gob.mx:8010/en/index.php. The federal government of Mexico introduced the Programa de Educación, Salud y Alimentación (the Education, Health, and Nutrition Program), known by its Spanish acronym, PROGRESA to measure the impacts of the program on the covered population, using diverse methodological approaches. In 1999, IFPRI at the request of PROGRESA conducted a qualitative evalua tion of its major rural anti-poverty program. The experimental design used for the evaluation of PROGRESA takes advantage of the sequential expansion of the program in order to come up with a set of localities that serve the role of controls. Specifically, the sample consists of repeated observations (panel data) collected for 24,000 households from 506 localities in the seven states of Guerrero, Hidalgo, Michoacan, Puebla, Queretaro, San Luis Potosi and Veracruz. Of the 506 localities , 320 localities were assigned to the treatment group and 186 localities were assigned as controls. The 320 treatment localities were randomly selected using probabilities proportional to size from a universe of 4,546 localities that were covered by phase II of the program in the 7 states mentioned above. Using the same method, the 186 control localities were selected from a universe of 1,850 localities in these 7 states that were to be covered by PROGRESA in later phases. In November 1997 PROGRESA conducted a survey of the socio-economic conditions of rural Mexican households (Encuesta de Caracteristicas Socioeconomicas de los Hogares or ENCASEH) in the evaluation communities to determine which households would be eligible for benefits. Then based on PROGRESA’s beneficiary selection methods, households were classified as eligible and non-eligible for participation in the program in both treatment and control communities. The first evaluation survey (En cuesta Evaluation de los Hogares or ENCEL) took place in March 1998 before the initiation of benefits distribution in May 1998. In combination these two surveys provide the baseline observations available for all households before the initiation of the distribution of cash benefits in the treatment villages. The rest of the evaluation surveys were conducted after beneficiary households started receiving benefits from PROGRESA. One round of surveys took place in October/November 1998 (ENCEL98O), which was well after most households received some benefits as part of their participation in the program. The next two waves took place in June 1999 (ENCEL98M) and November 1999 (ENCEL99N). A number of core questions about the demographic composition of households and their socio-economic status w ere applied in each round of the survey. These core questions were accompanied by specific questionnaires, focused on collecting information critical to a thorough evaluation of the impact of the program. The topics of these modules included collecting information about family background, assets brought to marriage, schooling indicators, health status and utilization, parental attitudes and aspirations towards children’s schooling, consumption of food and non-food items, the allocation of time of household members in various activities, and self-employment activities. The preceding surveys were supplemented by school and clinic surveys, community questionnaires, data on student achievement test scores, and other school and clinic administrative data. The evaluation surveys (ENCEL) collected by PROGRESA did not allow for an evaluation of the nutritional component of the program. For the purposes of evaluating the nutritional component of PROGRESA separate surveys of the same families were carried out by the National Institute of Public Health (INSP) in Cuernavaca. These surveys included collection of data on anthropometric measures (weight and height) data of children, collection of blood samples for tests for anemia and other deficiencies.

  5. Mexico Exports: IS: Flat-rolled Iron 600mm or > Wide, Cold-rolled, not Clad

    • ceicdata.com
    Updated Feb 5, 2018
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    CEICdata.com (2018). Mexico Exports: IS: Flat-rolled Iron 600mm or > Wide, Cold-rolled, not Clad [Dataset]. https://www.ceicdata.com/en/mexico/exports
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    Dataset updated
    Feb 5, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2018 - Feb 1, 2019
    Area covered
    Mexico
    Description

    Exports: IS: Flat-rolled Iron 600mm or > Wide, Cold-rolled, not Clad data was reported at 17.205 USD mn in Feb 2019. This records an increase from the previous number of 11.345 USD mn for Jan 2019. Exports: IS: Flat-rolled Iron 600mm or > Wide, Cold-rolled, not Clad data is updated monthly, averaging 7.655 USD mn from Jan 1993 (Median) to Feb 2019, with 314 observations. The data reached an all-time high of 33.779 USD mn in Apr 2005 and a record low of 0.248 USD mn in Aug 1994. Exports: IS: Flat-rolled Iron 600mm or > Wide, Cold-rolled, not Clad data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.WA002: Exports.

  6. Mexico MX: Savings Rate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico MX: Savings Rate [Dataset]. https://www.ceicdata.com/en/mexico/lending-saving-and-deposit-rates-annual/mx-savings-rate
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Mexico
    Variables measured
    Saving Rate
    Description

    Mexico MX: Savings Rate data was reported at 5.976 % pa in 2018. This records an increase from the previous number of 5.082 % pa for 2017. Mexico MX: Savings Rate data is updated yearly, averaging 2.153 % pa from Dec 1993 (Median) to 2018, with 26 observations. The data reached an all-time high of 8.410 % pa in 1993 and a record low of 0.663 % pa in 2011. Mexico MX: Savings Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Mexico – Table MX.IMF.IFS: Lending, Saving and Deposit Rates: Annual.

  7. M

    Mexico MX: Population: Female: Ages 20-24: % of Female Population

    • ceicdata.com
    Updated Jun 29, 2018
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    CEICdata.com (2018). Mexico MX: Population: Female: Ages 20-24: % of Female Population [Dataset]. https://www.ceicdata.com/en/mexico/population-and-urbanization-statistics
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    Dataset updated
    Jun 29, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Population
    Description

    MX: Population: Female: Ages 20-24: % of Female Population data was reported at 8.737 % in 2017. This records a decrease from the previous number of 8.755 % for 2016. MX: Population: Female: Ages 20-24: % of Female Population data is updated yearly, averaging 8.950 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10.736 % in 1995 and a record low of 7.641 % in 1961. MX: Population: Female: Ages 20-24: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 20 to 24 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

  8. Mexico MX: Population: Total: Aged 15-64

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico MX: Population: Total: Aged 15-64 [Dataset]. https://www.ceicdata.com/en/mexico/population-and-urbanization-statistics/mx-population-total-aged-1564
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Population
    Description

    Mexico MX: Population: Total: Aged 15-64 data was reported at 85,861,399.000 Person in 2017. This records an increase from the previous number of 84,512,801.000 Person for 2016. Mexico MX: Population: Total: Aged 15-64 data is updated yearly, averaging 46,173,321.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 85,861,399.000 Person in 2017 and a record low of 19,356,737.000 Person in 1960. Mexico MX: Population: Total: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Population and Urbanization Statistics. Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

  9. Mexico Banco de Mexico: Use: Other Creditors

    • ceicdata.com
    • dr.ceicdata.com
    Updated Aug 11, 2020
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    CEICdata.com (2020). Mexico Banco de Mexico: Use: Other Creditors [Dataset]. https://www.ceicdata.com/en/mexico/bank-of-mexico-source-and-use/banco-de-mexico-use-other-creditors
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    Dataset updated
    Aug 11, 2020
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2018 - Mar 1, 2019
    Area covered
    Mexico
    Variables measured
    Monetary Survey
    Description

    Banco de Mexico: Use: Other Creditors data was reported at 2,218.255 MXN mn in Mar 2019. This records an increase from the previous number of 2,085.206 MXN mn for Feb 2019. Banco de Mexico: Use: Other Creditors data is updated monthly, averaging 2,064.469 MXN mn from Dec 1977 (Median) to Mar 2019, with 496 observations. The data reached an all-time high of 8,349.362 MXN mn in Oct 2017 and a record low of 1.497 MXN mn in Dec 1977. Banco de Mexico: Use: Other Creditors data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.KB023: Bank of Mexico: Source and Use.

  10. Mexico MX: Tax Payments

    • ceicdata.com
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    CEICdata.com, Mexico MX: Tax Payments [Dataset]. https://www.ceicdata.com/en/mexico/company-statistics/mx-tax-payments
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2018
    Area covered
    Mexico
    Variables measured
    Enterprises Statistics
    Description

    Mexico MX: Tax Payments data was reported at 6.000 Number in 2018. This stayed constant from the previous number of 6.000 Number for 2017. Mexico MX: Tax Payments data is updated yearly, averaging 6.000 Number from Dec 2013 (Median) to 2018, with 6 observations. The data reached an all-time high of 6.000 Number in 2018 and a record low of 6.000 Number in 2018. Mexico MX: Tax Payments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Company Statistics. Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  11. Mexico MX: GDP: % of GDP: Trade

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico MX: GDP: % of GDP: Trade [Dataset]. https://www.ceicdata.com/en/mexico/gross-domestic-product-share-of-gdp/mx-gdp--of-gdp-trade
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    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Gross Domestic Product
    Description

    Mexico MX: GDP: % of GDP: Trade data was reported at 77.538 % in 2017. This records an increase from the previous number of 76.182 % for 2016. Mexico MX: GDP: % of GDP: Trade data is updated yearly, averaging 30.986 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 77.538 % in 2017 and a record low of 15.877 % in 1967. Mexico MX: GDP: % of GDP: Trade data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Gross Domestic Product: Share of GDP. Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;

  12. Mexico MX: Employment Rate Gap

    • ceicdata.com
    Updated Oct 15, 2024
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    CEICdata.com (2024). Mexico MX: Employment Rate Gap [Dataset]. https://www.ceicdata.com/en/mexico/employment-and-unemployment-forecast-oecd-member-annual/mx-employment-rate-gap
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    Dataset updated
    Oct 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2015 - Dec 1, 2026
    Area covered
    Mexico
    Variables measured
    Unemployment
    Description

    Mexico MX: Employment Rate Gap data was reported at 0.230 % in 2026. This records an increase from the previous number of 0.068 % for 2025. Mexico MX: Employment Rate Gap data is updated yearly, averaging 0.193 % from Dec 1995 (Median) to 2026, with 32 observations. The data reached an all-time high of 2.900 % in 2006 and a record low of -6.086 % in 2020. Mexico MX: Employment Rate Gap data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Mexico – Table MX.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual.

  13. Mexico MX: Persistence to Grade 5: % of Cohort

    • ceicdata.com
    Updated Mar 15, 2019
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    CEICdata.com (2019). Mexico MX: Persistence to Grade 5: % of Cohort [Dataset]. https://www.ceicdata.com/en/mexico/education-statistics/mx-persistence-to-grade-5--of-cohort
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    Dataset updated
    Mar 15, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Mexico
    Variables measured
    Education Statistics
    Description

    Mexico MX: Persistence to Grade 5: % of Cohort data was reported at 99.086 % in 2016. This records an increase from the previous number of 93.211 % for 2015. Mexico MX: Persistence to Grade 5: % of Cohort data is updated yearly, averaging 85.104 % from Dec 1974 (Median) to 2016, with 42 observations. The data reached an all-time high of 99.086 % in 2016 and a record low of 51.825 % in 1974. Mexico MX: Persistence to Grade 5: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Education Statistics. Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.; ; UNESCO Institute for Statistics (http://uis.unesco.org/); Weighted average;

  14. Mexico Real Time Settlement Systems: Value: SPID

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico Real Time Settlement Systems: Value: SPID [Dataset]. https://www.ceicdata.com/en/mexico/real-time-settlement-systems/real-time-settlement-systems-value-spid
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2018 - Apr 1, 2019
    Area covered
    Mexico
    Description

    Mexico Real Time Settlement Systems: Value: SPID data was reported at 15.937 USD bn in Apr 2019. This records a decrease from the previous number of 15.979 USD bn for Mar 2019. Mexico Real Time Settlement Systems: Value: SPID data is updated monthly, averaging 15.958 USD bn from Jul 2017 (Median) to Apr 2019, with 22 observations. The data reached an all-time high of 30.129 USD bn in Jun 2018 and a record low of 10.971 USD bn in Sep 2017. Mexico Real Time Settlement Systems: Value: SPID data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.KA022: Real Time Settlement Systems.

  15. Mexico MX: Primary Education: Duration

    • ceicdata.com
    Updated Dec 15, 2008
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    CEICdata.com (2008). Mexico MX: Primary Education: Duration [Dataset]. https://www.ceicdata.com/en/mexico/education-statistics/mx-primary-education-duration
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    Dataset updated
    Dec 15, 2008
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Mexico
    Variables measured
    Education Statistics
    Description

    Mexico MX: Primary Education: Duration data was reported at 6.000 Year in 2018. This stayed constant from the previous number of 6.000 Year for 2017. Mexico MX: Primary Education: Duration data is updated yearly, averaging 6.000 Year from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 6.000 Year in 2018 and a record low of 6.000 Year in 2018. Mexico MX: Primary Education: Duration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Education Statistics. Primary duration refers to the number of grades (years) in primary school.; ; UNESCO Institute for Statistics (http://uis.unesco.org/); Median;

  16. Mexico MX: School Enrollment: Primary: Female: % Gross

    • ceicdata.com
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    CEICdata.com, Mexico MX: School Enrollment: Primary: Female: % Gross [Dataset]. https://www.ceicdata.com/en/mexico/education-statistics/mx-school-enrollment-primary-female--gross
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Education Statistics
    Description

    Mexico MX: School Enrollment: Primary: Female: % Gross data was reported at 103.880 % in 2017. This records a decrease from the previous number of 104.227 % for 2016. Mexico MX: School Enrollment: Primary: Female: % Gross data is updated yearly, averaging 106.373 % from Dec 1971 (Median) to 2017, with 46 observations. The data reached an all-time high of 115.623 % in 1980 and a record low of 98.721 % in 1971. Mexico MX: School Enrollment: Primary: Female: % Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Education Statistics. Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics (http://uis.unesco.org/); Weighted average;

  17. Mexico MX: Production Index: Mining: % Change over Previous Period

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    CEICdata.com, Mexico MX: Production Index: Mining: % Change over Previous Period [Dataset]. https://www.ceicdata.com/en/mexico/production-index-annual/mx-production-index-mining--change-over-previous-period
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Mexico
    Variables measured
    Industrial Production
    Description

    Mexico MX: Production Index: Mining: % Change over Previous Period data was reported at -5.536 % in 2018. This records an increase from the previous number of -8.191 % for 2017. Mexico MX: Production Index: Mining: % Change over Previous Period data is updated yearly, averaging 1.313 % from Dec 1950 (Median) to 2018, with 69 observations. The data reached an all-time high of 62.280 % in 1982 and a record low of -8.191 % in 2017. Mexico MX: Production Index: Mining: % Change over Previous Period data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Mexico – Table MX.IMF.IFS: Production Index: Annual.

  18. Mexico External Public Debt: Qtr: Gross: Private Investment

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    CEICdata.com, Mexico External Public Debt: Qtr: Gross: Private Investment [Dataset]. https://www.ceicdata.com/en/mexico/domestic--external-public-debt/external-public-debt-qtr-gross-private-investment
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2016 - Dec 1, 2018
    Area covered
    Mexico
    Variables measured
    External Debt
    Description

    Mexico External Public Debt: Qtr: Gross: Private Investment data was reported at 0.000 USD mn in Dec 2018. This stayed constant from the previous number of 0.000 USD mn for Sep 2018. Mexico External Public Debt: Qtr: Gross: Private Investment data is updated quarterly, averaging 0.000 USD mn from Mar 1990 (Median) to Dec 2018, with 116 observations. The data reached an all-time high of 612.600 USD mn in Jun 1994 and a record low of 0.000 USD mn in Dec 2018. Mexico External Public Debt: Qtr: Gross: Private Investment data remains active status in CEIC and is reported by Secretary of Finance and Public Credit. The data is categorized under Global Database’s Mexico – Table MX.F022: Domestic & External Public Debt.

  19. Mexico MX: Population Density: People per Square Km

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    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico MX: Population Density: People per Square Km [Dataset]. https://www.ceicdata.com/en/mexico/population-and-urbanization-statistics/mx-population-density-people-per-square-km
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Population
    Description

    Mexico MX: Population Density: People per Square Km data was reported at 66.444 Person/sq km in 2017. This records an increase from the previous number of 65.609 Person/sq km for 2016. Mexico MX: Population Density: People per Square Km data is updated yearly, averaging 43.056 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 66.444 Person/sq km in 2017 and a record low of 20.265 Person/sq km in 1961. Mexico MX: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

  20. Mexico MX: SPI: Pillar 3 Data Products Score: Scale 0-100

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico MX: SPI: Pillar 3 Data Products Score: Scale 0-100 [Dataset]. https://www.ceicdata.com/en/mexico/governance-policy-and-institutions/mx-spi-pillar-3-data-products-score-scale-0100
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Mexico
    Variables measured
    Money Market Rate
    Description

    Mexico MX: SPI: Pillar 3 Data Products Score: Scale 0-100 data was reported at 92.963 NA in 2022. This stayed constant from the previous number of 92.963 NA for 2021. Mexico MX: SPI: Pillar 3 Data Products Score: Scale 0-100 data is updated yearly, averaging 75.362 NA from Dec 2005 (Median) to 2022, with 18 observations. The data reached an all-time high of 92.963 NA in 2022 and a record low of 66.975 NA in 2005. Mexico MX: SPI: Pillar 3 Data Products Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Governance: Policy and Institutions. The data products overall score is a composite score measureing whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

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Techsalerator (2022). Business Data Mexico / Company B2B Data Mexico ( Full Coverage) [Dataset]. https://datarade.ai/data-products/1-7-million-companies-in-mexico-full-coverage-techsalerator
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Business Data Mexico / Company B2B Data Mexico ( Full Coverage)

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.json, .csv, .xls, .txtAvailable download formats
Dataset updated
Feb 18, 2022
Dataset provided by
Techsalerator LLC
Authors
Techsalerator
Area covered
Mexico
Description

With 1.7 Million Businesses in Mexico , Techsalerator has access to the highest B2B count of Data/Business Data in the country.

Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all regions and cities in the country: Aguascalientes Aguascalientes Baja California Ensenada Mexicali Tijuana Baja California Sur La Paz Campeche Campeche Chiapas Comitán San Cristóbal de Las Casas Tapachula Tuxtla Chihuahua Casas Grandes Chihuahua Ciudad Delicias Hidalgo del Parral Juárez Nuevo Casas Grandes Coahuila Ciudad Acuña Monclova Múzquiz Nueva Rosita Piedras Negras Sabinas Saltillo San Pedro Torreón Villa Frontera Colima Colima Manzanillo Tecomán Durango Durango Gómez Palacio Federal District (administrative district) Atzcapotzalco (delegación) Churubusco (neighbourhood) Coyoacán (delegación) Magdalena (delegación) Mexico City Tlalpan (delegación) Villa Obregón (delegación) Xochimilco (delegación) Guanajuato Acámbaro Celaya Cortazar Guanajuato Irapuato León Moroleón Salamanca San Francisco del Rincón San Miguel de Allende Silao Valle de Santiago Guerrero Acapulco Chilpancingo Iguala Taxco Hidalgo Pachuca Tulancingo Jalisco Ameca Arandas Autlán Ciudad Guzmán Guadalajara La Barca Ocotlán Puerto Vallarta Tepatitlán Tlaquepaque Zapopan México Nezahualcóyotl Tlalnepantla Toluca Michoacán Apatzingán Ciudad Hidalgo La Piedad Cavadas Morelia Sahuayo Uruapan Zacapú Zamora Zitácuaro Morelos Cuernavaca Xochicalco Nayarit Tepic Nuevo León Guadalupe Monterrey Oaxaca Juchitán Oaxaca Puebla Atlixco Cholula Matamoros Puebla Teziutlán Querétaro Querétaro Quintana Roo Cancún Chetumal San Luis Potosí Matehuala San Luis Potosí Valles Sinaloa Culiacán Los Mochis Mazatlán Sonora Ciudad Obregón Guaymas Hermosillo Navojoa Nogales San Luis Tabasco Villahermosa Tamaulipas Ciudad Mante Ciudad Victoria Matamoros Nuevo Laredo Reynosa Tampico Tlaxcala Apizaco Tlaxcala Veracruz Ciudad Mendoza Coatzacoalcos Córdoba Cosamaloapan Minatitlán Orizaba Papantla Poza Rica San Andrés Tuxtla Tierra Blanca Tuxpan Veracruz Xalapa Yucatán Mérida Progreso Zacatecas Fresnillo Jerez de García Salinas Zacatecas

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