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Cross Gender Ties

Cross Gender Ties

The cross-gender ties dataset measures the rate of friendship between men and women within and across countries.

About Dataset

This public dataset is based on information from more than a trillion social ties from Facebook users in nearly 200 countries and territories.

More information on this dataset can be found here: https://drew-johnston.com/files/cross_gender_ties/Cross-Gender_Social_Ties_Around_the_World.pdf

Multiple granularities are available, including national, GADM-1, GADM-2, and GeoBoundaries ADM2, sourced from GADM and GeoBoundaries.

Important Notes


The datasets are intended for general informational purposes only and should not be used for any commercial or navigational purposes.

We strive to provide accurate and up-to-date information, but we cannot guarantee the accuracy or completeness of the datasets.

We fully respect the territorial integrity of India and acknowledge its sovereignty over all its territories. However, due to limitations in access and data collection, some of our datasets do not cover certain territories. 


Disclaimer


Meta makes no representation or warranty, express or implied, including without limitation, any warranties of fitness for a particular purpose or warranties as to the quality, accuracy or completeness of data or information. By accessing this data, researchers acknowledge that the data may contain some nonconformities, defects, or errors. Meta does not warrant that the data will meet the researcher's needs or expectations, that the use of the data will be uninterrupted, or that all nonconformities, defects, or errors can or will be corrected. 

Metadata Dataset Metadata

Attribution 4.0 International (CC BY- 4.0)

Afghanistan, Albania, Algeria, Andorra, Angola, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia (Plurinational State of), Bosnia and Herzegovina, Botswana, Brazil, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Hong Kong Special Administrative Region, Colombia, Comoros, Congo, Costa Rica, Côte d'Ivoire, Croatia, Cuba, Czechia, Democratic Republic of the Congo, Denmark, Djibouti, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Micronesia (Federated States of), Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Republic of Korea, Republic of Moldova, Romania, Russian Federation, Rwanda, Saint Lucia, Saint Vincent and the Grenadines, Samoa, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syrian Arab Republic, Taiwan (Province of China), Tajikistan, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkmenistan, Türkiye, Uganda, Ukraine, United Arab Emirates, United Kingdom, United Republic of Tanzania, United States, Uruguay, Uzbekistan, Vanuatu, Venezuela (Bolivarian Republic of), Viet Nam, Yemen, Zambia, Zimbabwe

Sector Agnostic

AI and Data for Good at Meta

FACEBOOK INDIA ONLINE SERVICES PRIVATE LIMITED

Sudhamay Maity

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30/01/2025 - 30/09/2025

31/10/25 10:07:59

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  • File Size 15.72 MB

Tags Tags

  • Socio-Economic Data
  • Meta
  • Economic
  • Women
  • Gender Equality

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Attribution 4.0 International (CC BY- 4.0)

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FolderVersion 1(15.72 MB)
  • admin·3 month(s) ago
    • text/csv
      bing_tile_9_cgfr.csv
    • text/csv
      country_cgfr.csv
    • text/csv
      gadm_best_cgfr.csv
    • text/csv
      gadm1_cgfr.csv
    • text/csv
      gadm2_cgfr.csv
    • text/csv
      geoboundaries_adm2_cgfr.csv
    • text/csv
      nuts3_2016_cgfr.csv
    • text/csv
      nuts3_2021_cgfr.csv
    • application/pdf
      README.pdf
    • text/csv
      us_counties_cgfr.csv

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