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b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7800 | MRT | Mauritania | 2,022 | fin_prf | An alternative private source, such as a financial technology (fintech) company | overall_owner_manager | ZA | 0.13742 | 0.064639 | 28 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7801 | MRT | Mauritania | 2,022 | fin_prf | Family | overall_owner_manager | ZA | 0.132932 | 0.06374 | 47 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7802 | MRT | Mauritania | 2,022 | fin_prf | Friends | overall_owner_manager | ZA | 0.022485 | 0.027834 | 12 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7803 | MRT | Mauritania | 2,022 | fin_prf | Government | overall_owner_manager | ZA | 0.310267 | 0.086852 | 65 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7804 | MRT | Mauritania | 2,022 | fin_prf | My business does not need any financial assistance | overall_owner_manager | ZA | 0.175092 | 0.071352 | 35 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7805 | MRT | Mauritania | 2,022 | fin_prf | Non-profit organization | overall_owner_manager | ZA | 0.120635 | 0.061149 | 14 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7806 | MRT | Mauritania | 2,022 | fin_prf | Other | overall_owner_manager | ZA | 0.051821 | 0.041617 | 13 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7807 | MRT | Mauritania | 2,022 | fin_prf | Traditional bank | overall_owner_manager | ZA | 0.049349 | 0.040665 | 23 | 237 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7808 | MRT | Mauritania | 2,022 | ind_oth | Administrative and support services (e.g. rental and leasing, travel agencies, human resources, security) | overall_owner_manager | ZA | 0.022601 | 0.030274 | 6 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7809 | MRT | Mauritania | 2,022 | ind_oth | Arts, entertainment, and recreation | overall_owner_manager | ZA | 0.188266 | 0.079628 | 43 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7810 | MRT | Mauritania | 2,022 | ind_oth | Education | overall_owner_manager | ZA | 0.028462 | 0.033871 | 14 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7811 | MRT | Mauritania | 2,022 | ind_oth | Financial and insurance activities | overall_owner_manager | ZA | 0.164304 | 0.075478 | 11 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7812 | MRT | Mauritania | 2,022 | ind_oth | Human health and social work activities | overall_owner_manager | ZA | 0.027226 | 0.033149 | 16 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7813 | MRT | Mauritania | 2,022 | ind_oth | Other | overall_owner_manager | ZA | 0.275016 | 0.090953 | 59 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7814 | MRT | Mauritania | 2,022 | ind_oth | Personal services (e.g. repair of household goods, washing of textiles, hairdressing) | overall_owner_manager | ZA | 0.224848 | 0.085038 | 42 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7815 | MRT | Mauritania | 2,022 | ind_oth | Professional, scientific, and technical services | overall_owner_manager | ZA | 0.020426 | 0.028813 | 10 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7816 | MRT | Mauritania | 2,022 | ind_oth | Real estate activities | overall_owner_manager | ZA | 0.048851 | 0.043907 | 7 | 208 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7817 | MRT | Mauritania | 2,022 | ind_top | Agriculture, forestry, fishing and mining | overall_owner_manager | ZA | 0.052137 | 0.024978 | 40 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7818 | MRT | Mauritania | 2,022 | ind_top | Construction | overall_owner_manager | ZA | 0.142712 | 0.039302 | 56 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7819 | MRT | Mauritania | 2,022 | ind_top | Hotels, cafes and restaurants | overall_owner_manager | ZA | 0.13824 | 0.038782 | 59 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7820 | MRT | Mauritania | 2,022 | ind_top | Information and communication | overall_owner_manager | ZA | 0.049041 | 0.024265 | 48 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7821 | MRT | Mauritania | 2,022 | ind_top | Manufacturing, energy, water supply and waste management | overall_owner_manager | ZA | 0.100342 | 0.03376 | 37 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7822 | MRT | Mauritania | 2,022 | ind_top | Other services | overall_owner_manager | ZA | 0.362454 | 0.054013 | 230 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7823 | MRT | Mauritania | 2,022 | ind_top | Transportation and storage | overall_owner_manager | ZA | 0.069498 | 0.028573 | 45 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7824 | MRT | Mauritania | 2,022 | ind_top | Wholesale and retail trade | overall_owner_manager | ZA | 0.085576 | 0.031432 | 93 | 608 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7825 | MRT | Mauritania | 2,022 | ind_trd | Other | overall_owner_manager | ZA | 0.049627 | 0.033942 | 4 | 85 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7826 | MRT | Mauritania | 2,022 | ind_trd | Retail trade | overall_owner_manager | ZA | 0.710286 | 0.070898 | 56 | 85 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7827 | MRT | Mauritania | 2,022 | ind_trd | Wholesale trade | overall_owner_manager | ZA | 0.240087 | 0.066758 | 25 | 85 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7828 | MRT | Mauritania | 2,022 | phys_chl_a_lack_of_employees_willing_to_work_in_person | Checked | overall_owner_manager | ZA | 0.194281 | 0.067104 | 45 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7829 | MRT | Mauritania | 2,022 | phys_chl_a_lack_of_employees_willing_to_work_in_person | Unchecked | overall_owner_manager | ZA | 0.805719 | 0.067104 | 251 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7830 | MRT | Mauritania | 2,022 | phys_chl_a_lack_of_in_person_customers_returning_to_your_business | Checked | overall_owner_manager | ZA | 0.182804 | 0.065554 | 64 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7831 | MRT | Mauritania | 2,022 | phys_chl_a_lack_of_in_person_customers_returning_to_your_business | Unchecked | overall_owner_manager | ZA | 0.817196 | 0.065554 | 232 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7832 | MRT | Mauritania | 2,022 | phys_chl_a_lack_of_vaccinated_workers | Checked | overall_owner_manager | ZA | 0.194303 | 0.067107 | 44 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7833 | MRT | Mauritania | 2,022 | phys_chl_a_lack_of_vaccinated_workers | Unchecked | overall_owner_manager | ZA | 0.805697 | 0.067107 | 252 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7834 | MRT | Mauritania | 2,022 | phys_chl_concerns_to_comply_health_and_safety_guidelines_covid_19 | Checked | overall_owner_manager | ZA | 0.128373 | 0.056734 | 46 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7835 | MRT | Mauritania | 2,022 | phys_chl_concerns_to_comply_health_and_safety_guidelines_covid_19 | Unchecked | overall_owner_manager | ZA | 0.871627 | 0.056734 | 250 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7836 | MRT | Mauritania | 2,022 | phys_chl_confusion_health_safety_guidelines_covid_19 | Checked | overall_owner_manager | ZA | 0.145601 | 0.059821 | 43 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7837 | MRT | Mauritania | 2,022 | phys_chl_confusion_health_safety_guidelines_covid_19 | Unchecked | overall_owner_manager | ZA | 0.854399 | 0.059821 | 253 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7838 | MRT | Mauritania | 2,022 | phys_chl_inability_compensation_workers | Checked | overall_owner_manager | ZA | 0.132215 | 0.05745 | 66 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7839 | MRT | Mauritania | 2,022 | phys_chl_inability_compensation_workers | Unchecked | overall_owner_manager | ZA | 0.867785 | 0.05745 | 230 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7840 | MRT | Mauritania | 2,022 | phys_chl_no_challenges | Checked | overall_owner_manager | ZA | 0.316037 | 0.078855 | 100 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7841 | MRT | Mauritania | 2,022 | phys_chl_no_challenges | Unchecked | overall_owner_manager | ZA | 0.683963 | 0.078855 | 196 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7842 | MRT | Mauritania | 2,022 | phys_chl_surplus_office_commercial_space | Checked | overall_owner_manager | ZA | 0.130292 | 0.057094 | 34 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7843 | MRT | Mauritania | 2,022 | phys_chl_surplus_office_commercial_space | Unchecked | overall_owner_manager | ZA | 0.869708 | 0.057094 | 262 | 296 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7844 | MRT | Mauritania | 2,022 | phys_hyb | I think it is necessary currently and will continue to be necessary in the future | overall_owner_manager | ZA | 0.307052 | 0.084241 | 97 | 249 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7845 | MRT | Mauritania | 2,022 | phys_hyb | I think it is necessary currently, but will not be necessary in the future | overall_owner_manager | ZA | 0.183341 | 0.070667 | 21 | 249 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7846 | MRT | Mauritania | 2,022 | phys_hyb | I think it is neither unnecessary currently, nor will it be necessary in the future | overall_owner_manager | ZA | 0.159401 | 0.06685 | 45 | 249 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7847 | MRT | Mauritania | 2,022 | phys_hyb | I think it is unnecessary currently, but will be necessary in the future | overall_owner_manager | ZA | 0.150005 | 0.065212 | 24 | 249 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7848 | MRT | Mauritania | 2,022 | phys_hyb | Not sure | overall_owner_manager | ZA | 0.200201 | 0.073078 | 62 | 249 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7849 | MRT | Mauritania | 2,022 | phys_mnt | All or most employees will come to work in person | overall_owner_manager | ZA | 0.51854 | 0.087797 | 96 | 273 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7850 | MRT | Mauritania | 2,022 | phys_mnt | Employees have the option of working from another location part of the time | overall_owner_manager | ZA | 0.11749 | 0.056581 | 38 | 273 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7851 | MRT | Mauritania | 2,022 | phys_mnt | Employees may work entirely from home | overall_owner_manager | ZA | 0.103441 | 0.053511 | 54 | 273 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7852 | MRT | Mauritania | 2,022 | phys_mnt | Not sure | overall_owner_manager | ZA | 0.260529 | 0.077126 | 85 | 273 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7853 | MRT | Mauritania | 2,022 | phys_plans | Use both in-person and digital business operations roughly equally | overall_owner_manager | ZA | 0.509987 | 0.078463 | 148 | 320 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7854 | MRT | Mauritania | 2,022 | phys_plans | Use mostly digital business operations | overall_owner_manager | ZA | 0.120881 | 0.051166 | 41 | 320 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7855 | MRT | Mauritania | 2,022 | phys_plans | Use mostly in-person business operations | overall_owner_manager | ZA | 0.102112 | 0.047526 | 30 | 320 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7856 | MRT | Mauritania | 2,022 | phys_plans | Use only digital business operations | overall_owner_manager | ZA | 0.128714 | 0.052562 | 35 | 320 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7857 | MRT | Mauritania | 2,022 | phys_plans | Use only in-person business operations | overall_owner_manager | ZA | 0.138306 | 0.054185 | 66 | 320 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7858 | MRT | Mauritania | 2,022 | phys_sit | Online only business (no physical store) | overall_owner_manager | ZA | 0.300866 | 0.071263 | 102 | 334 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7859 | MRT | Mauritania | 2,022 | phys_sit | Physical store(s) is currently expanding to a larger or additional space | overall_owner_manager | ZA | 0.130203 | 0.05229 | 48 | 334 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7860 | MRT | Mauritania | 2,022 | phys_sit | Physical store(s) is currently operating normally | overall_owner_manager | ZA | 0.362324 | 0.074687 | 119 | 334 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7861 | MRT | Mauritania | 2,022 | phys_sit | Physical store(s) is permanently closed | overall_owner_manager | ZA | 0.038776 | 0.029998 | 19 | 334 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7862 | MRT | Mauritania | 2,022 | phys_sit | Physical store(s) is temporarily closed | overall_owner_manager | ZA | 0.167831 | 0.058068 | 46 | 334 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7863 | MRT | Mauritania | 2,022 | phys_yrs_costs_due_to_implementing_climate_change_policies_and_regulations | Checked | overall_owner_manager | ZA | 0.125436 | 0.054861 | 44 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7864 | MRT | Mauritania | 2,022 | phys_yrs_costs_due_to_implementing_climate_change_policies_and_regulations | Unchecked | overall_owner_manager | ZA | 0.874564 | 0.054861 | 263 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7865 | MRT | Mauritania | 2,022 | phys_yrs_energy_costs_renewable_energy_sources | Checked | overall_owner_manager | ZA | 0.064398 | 0.040657 | 46 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7866 | MRT | Mauritania | 2,022 | phys_yrs_energy_costs_renewable_energy_sources | Unchecked | overall_owner_manager | ZA | 0.935602 | 0.040657 | 261 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7867 | MRT | Mauritania | 2,022 | phys_yrs_i_expect_no_challenges | Checked | overall_owner_manager | ZA | 0.297625 | 0.075731 | 104 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7868 | MRT | Mauritania | 2,022 | phys_yrs_i_expect_no_challenges | Unchecked | overall_owner_manager | ZA | 0.702375 | 0.075731 | 203 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7869 | MRT | Mauritania | 2,022 | phys_yrs_insurance_costs_due_to_natural_disasters_and_or_extreme_weather | Checked | overall_owner_manager | ZA | 0.093732 | 0.048275 | 40 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7870 | MRT | Mauritania | 2,022 | phys_yrs_insurance_costs_due_to_natural_disasters_and_or_extreme_weather | Unchecked | overall_owner_manager | ZA | 0.906268 | 0.048275 | 267 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7871 | MRT | Mauritania | 2,022 | phys_yrs_other_please_specify | Checked | overall_owner_manager | ZA | 0.116592 | 0.053158 | 29 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7872 | MRT | Mauritania | 2,022 | phys_yrs_other_please_specify | Unchecked | overall_owner_manager | ZA | 0.883408 | 0.053158 | 278 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7873 | MRT | Mauritania | 2,022 | phys_yrs_physical_damage_due_to_natural_disasters_and_or_severe_weather | Checked | overall_owner_manager | ZA | 0.151743 | 0.059425 | 40 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7874 | MRT | Mauritania | 2,022 | phys_yrs_physical_damage_due_to_natural_disasters_and_or_severe_weather | Unchecked | overall_owner_manager | ZA | 0.848257 | 0.059425 | 267 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7875 | MRT | Mauritania | 2,022 | phys_yrs_supply_chain_disruptions_weather | Checked | overall_owner_manager | ZA | 0.127411 | 0.055229 | 47 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7876 | MRT | Mauritania | 2,022 | phys_yrs_supply_chain_disruptions_weather | Unchecked | overall_owner_manager | ZA | 0.872589 | 0.055229 | 260 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7877 | MRT | Mauritania | 2,022 | phys_yrs_surplus_office_commercial_space | Checked | overall_owner_manager | ZA | 0.058043 | 0.03873 | 31 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7878 | MRT | Mauritania | 2,022 | phys_yrs_surplus_office_commercial_space | Unchecked | overall_owner_manager | ZA | 0.941957 | 0.03873 | 276 | 307 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7879 | MRT | Mauritania | 2,022 | sex | Female | overall_owner_manager | ZA | 0.344397 | 0.055307 | 230 | 581 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7880 | MRT | Mauritania | 2,022 | sex | Male | overall_owner_manager | ZA | 0.655603 | 0.055307 | 351 | 581 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7881 | MRT | Mauritania | 2,022 | skl_lng | All | overall_owner_manager | ZA | 0.086943 | 0.053087 | 54 | 243 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7882 | MRT | Mauritania | 2,022 | skl_lng | Between 0 and 25% | overall_owner_manager | ZA | 0.310747 | 0.0872 | 49 | 243 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7883 | MRT | Mauritania | 2,022 | skl_lng | Between 25 and 50% | overall_owner_manager | ZA | 0.266648 | 0.08332 | 41 | 243 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7884 | MRT | Mauritania | 2,022 | skl_lng | Between 50 and 75% | overall_owner_manager | ZA | 0.027929 | 0.031046 | 18 | 243 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7885 | MRT | Mauritania | 2,022 | skl_lng | Between 75 and 100% | overall_owner_manager | ZA | 0.127517 | 0.062848 | 35 | 243 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7886 | MRT | Mauritania | 2,022 | skl_lng | null | overall_owner_manager | ZA | 0.180215 | 0.072422 | 46 | 243 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7887 | MRT | Mauritania | 2,022 | urb | City | overall_owner_manager | ZA | 0.283133 | 0.05087 | 166 | 612 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7888 | MRT | Mauritania | 2,022 | urb | Online only | overall_owner_manager | ZA | 0.128432 | 0.037778 | 103 | 612 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7889 | MRT | Mauritania | 2,022 | urb | Suburb / Outskirts of a city | overall_owner_manager | ZA | 0.133835 | 0.038445 | 94 | 612 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7890 | MRT | Mauritania | 2,022 | urb | Town | overall_owner_manager | ZA | 0.202184 | 0.04535 | 137 | 612 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078:7891 | MRT | Mauritania | 2,022 | urb | Village or countryside | overall_owner_manager | ZA | 0.252416 | 0.04905 | 112 | 612 | 2,022 | 2,022 | 2022 | AI for Good at Meta | Small Business Surveys - Aggregated Data | gsosb_2022_january_data_aggregate_weighted.csv | 8bd3d109-d33d-4349-90c4-464c9d7ccb66 | b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078 | https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b9f23d1a-17d3-4fcd-8fa9-16c5d5a39078/download/gsosb_2022_january_data_aggregate_weighted.csv | cc-by | 2026-08-18T00:06:00Z |
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