Mali · Country Data Coverage
Collection
535 official ML-ready Mali open-data resources, plus related Electric Sheep Africa datasets. • 602 items • Updated
Datasets:
source_record_id stringlengths 51 66 | country_iso3 stringclasses 1
value | country_name stringclasses 1
value | source_sheet stringclasses 4
values | total_of_countries float64 1 48 ⌀ | region stringclasses 9
values | list_of_code stringclasses 55
values | source_period_start_year int64 | source_period_end_year int64 | source_period_label stringclasses 0
values | source_provider stringclasses 1
value | source_dataset stringclasses 1
value | source_resource stringclasses 1
value | source_package_id stringclasses 1
value | source_resource_id stringclasses 1
value | source_url stringclasses 1
value | license_id stringclasses 1
value | retrieved_at stringdate 2026-08-13 10:40:31 2026-08-13 10:40:31 | row_id float64 1 44.3k ⌀ | code stringclasses 105
values | wave stringclasses 11
values | month float64 4 10 ⌀ | level_data stringclasses 4
values | indicator stringclasses 99
values | indicator_val float64 0 100 ⌀ | urban_rural stringclasses 3
values | industry stringclasses 6
values | current_lsector stringclasses 5
values | sample_subset float64 30 9.45k ⌀ | sample_total float64 457 9.45k ⌀ | year float64 2.02k 2.02k ⌀ | country stringclasses 104
values | region_code stringclasses 6
values | fcs stringclasses 3
values | income_group stringclasses 4
values | lending_category stringclasses 3
values | indicator_topic stringclasses 14
values | indicator_description stringclasses 98
values | indicator_display stringclasses 98
values | unit_measure stringclasses 6
values | measure_type stringclasses 2
values | headline_indicator float64 1 1 ⌀ | gdp_pc float64 945 33.2k ⌀ | ln_gdp_pc float64 6.85 10.4 ⌀ | many_waves float64 0 1 ⌀ | weight_type stringclasses 3
values | footnote stringclasses 8
values | survey_producer stringclasses 2
values | survey_link stringclasses 1
value | last_updated stringclasses 1
value | indicator_label stringclasses 41
values | indicator_val_old stringclasses 39
values | indicator_val_new stringclasses 32
values | reason stringclasses 5
values | date stringclasses 5
values | data_in_dashboard_new_country float64 1 1 ⌀ | data_in_dashboard_no_change float64 1 1 ⌀ | data_in_dashboard_new_wave float64 1 1 ⌀ | survey_in_progess float64 1 1 ⌀ | flag_new_country float64 1 1 ⌀ | flag_new_wave float64 1 1 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:0 | MLI | Mali | 1. Countries Included | 8 | East Asia Pacific | IDN LAO MMR MNG PNG PHL SLB KHM | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:1 | MLI | Mali | 1. Countries Included | 6 | Europe and Central Asia | BGR HRV POL ROU TJK UZB | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:2 | MLI | Mali | 1. Countries Included | 11 | Latin America & Caribbean | BOL CHL COL CRI DOM ECU GTM LCA HND PER PRY SLV LCA | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:3 | MLI | Mali | 1. Countries Included | 2 | Middle East & North Africa | DJI TUN | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:4 | MLI | Mali | 1. Countries Included | 15 | Sub-Saharan Africa | BFA CAF ETH GAB GHA KEN MDG MLI MWI NGA TCD SEN SSD UGA ZMB | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:5 | MLI | Mali | 1. Countries Included | null | South Asia | AFG BGD BTN | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:6 | MLI | Mali | 1. Countries Included | 48 | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:7 | MLI | Mali | 1. Countries Included | null | Region | List of Countries | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:8 | MLI | Mali | 1. Countries Included | 1 | East Asia & Pacific | Indonesia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:9 | MLI | Mali | 1. Countries Included | 2 | East Asia & Pacific | Lao PDR | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:10 | MLI | Mali | 1. Countries Included | 3 | East Asia & Pacific | Myanmar | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:11 | MLI | Mali | 1. Countries Included | 4 | East Asia & Pacific | Mongolia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:12 | MLI | Mali | 1. Countries Included | 5 | East Asia & Pacific | Papua New Guinea | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:13 | MLI | Mali | 1. Countries Included | 6 | East Asia & Pacific | Phillipines | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:14 | MLI | Mali | 1. Countries Included | 7 | East Asia & Pacific | Vietnam | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:15 | MLI | Mali | 1. Countries Included | 8 | East Asia & Pacific | Cambodia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:16 | MLI | Mali | 1. Countries Included | 9 | East Asia & Pacific | Solomon Islands | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:17 | MLI | Mali | 1. Countries Included | 10 | Europe & Central Asia | Bulgaria | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:18 | MLI | Mali | 1. Countries Included | 11 | Europe & Central Asia | Croatia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:19 | MLI | Mali | 1. Countries Included | 12 | Europe & Central Asia | Poland | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:20 | MLI | Mali | 1. Countries Included | 13 | Europe & Central Asia | Romania | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:21 | MLI | Mali | 1. Countries Included | 14 | Europe & Central Asia | Tajikistan | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:22 | MLI | Mali | 1. Countries Included | 15 | Europe & Central Asia | Uzbekistan | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:23 | MLI | Mali | 1. Countries Included | 16 | Latin America & Caribbean | Bolivia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:24 | MLI | Mali | 1. Countries Included | 17 | Latin America & Caribbean | Chile | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:25 | MLI | Mali | 1. Countries Included | 18 | Latin America & Caribbean | Colombia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:26 | MLI | Mali | 1. Countries Included | 19 | Latin America & Caribbean | Costa Rica | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:27 | MLI | Mali | 1. Countries Included | 20 | Latin America & Caribbean | Dominican Republic | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:28 | MLI | Mali | 1. Countries Included | 21 | Latin America & Caribbean | Ecuador | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:29 | MLI | Mali | 1. Countries Included | 22 | Latin America & Caribbean | Guatemala | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:30 | MLI | Mali | 1. Countries Included | 23 | Latin America & Caribbean | Honduras | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:31 | MLI | Mali | 1. Countries Included | 24 | Latin America & Caribbean | Peru | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:32 | MLI | Mali | 1. Countries Included | 25 | Latin America & Caribbean | Paraguay | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:33 | MLI | Mali | 1. Countries Included | 26 | Latin America & Caribbean | El Salvador | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:34 | MLI | Mali | 1. Countries Included | 27 | Latin America & Caribbean | St. Lucia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:35 | MLI | Mali | 1. Countries Included | 28 | Middle East & North Africa | Djibouti | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:36 | MLI | Mali | 1. Countries Included | 29 | Middle East & North Africa | Tunisia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:37 | MLI | Mali | 1. Countries Included | 30 | Sub-Saharan Africa | Burkina Faso | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:38 | MLI | Mali | 1. Countries Included | 31 | Sub-Saharan Africa | Central African Republic (Bangui/Bimbo) | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:39 | MLI | Mali | 1. Countries Included | 32 | Sub-Saharan Africa | Ethiopia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:40 | MLI | Mali | 1. Countries Included | 33 | Sub-Saharan Africa | Gabon | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:41 | MLI | Mali | 1. Countries Included | 34 | Sub-Saharan Africa | Ghana | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:42 | MLI | Mali | 1. Countries Included | 35 | Sub-Saharan Africa | Kenya | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:43 | MLI | Mali | 1. Countries Included | 36 | Sub-Saharan Africa | Madagascar | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:44 | MLI | Mali | 1. Countries Included | 37 | Sub-Saharan Africa | Mali | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:45 | MLI | Mali | 1. Countries Included | 38 | Sub-Saharan Africa | Nigeria | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:46 | MLI | Mali | 1. Countries Included | 39 | Sub-Saharan Africa | Chad | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:47 | MLI | Mali | 1. Countries Included | 40 | Sub-Saharan Africa | Senegal | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:48 | MLI | Mali | 1. Countries Included | 41 | Sub-Saharan Africa | South Sudan | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:49 | MLI | Mali | 1. Countries Included | 42 | Sub-Saharan Africa | Uganda | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:50 | MLI | Mali | 1. Countries Included | 43 | Sub-Saharan Africa | Malawi | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:51 | MLI | Mali | 1. Countries Included | 44 | Sub-Saharan Africa | Zambia | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:52 | MLI | Mali | 1. Countries Included | 45 | Sub-Saharan Africa | Zimbabwe | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:53 | MLI | Mali | 1. Countries Included | 46 | South Asia | Afghanistan | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:54 | MLI | Mali | 1. Countries Included | 47 | South Asia | Bangladesh | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:55 | MLI | Mali | 1. Countries Included | 48 | South Asia | Bhutan | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:0 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 1 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ2 | 4.748603 | National | All | null | 5,013 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Demographic | % respondent by level of education - Any Primary | Level of education - Any Primary | Percent of respondent | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) The category includes incomplete and completed primary education. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:1 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 2 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ3 | 17.427618 | National | All | null | 1,503 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - Any Secondary | Level of education - Any Secondary | Percent of respondent | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) The category includes incomplete and completed secondary education. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:2 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 3 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Demo_educ4 | 5.603161 | National | All | null | 7,638 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - Any Post Secondary | Level of education - Any Post Secondary | Percent of respondent | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | (*) The category includes incomplete post-secondary education and above. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:3 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 4 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Heal_need | 39.042709 | National | All | null | 7,623 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Health | % of HHs needing medical treatment since recall period | Needed medical treatment since the recall period (% of HHs) | Percent of households | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | (*) The recall period is March 1. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:4 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 5 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Hous_ablepayre | 44.375717 | National | All | null | 1,735 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Housing | % of HHs able to pay rent for the next month | Able to pay rent next month (% of HHs) | Percent of households | p | 1 | 4,753.727051 | 8.466684 | 0 | Individual weight | (*) Denominator households that do not own their dwelling (includes but is not limited to renters). | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:5 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 6 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Hous_moved | 4.444803 | National | All | null | 5,650 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Housing | % of HHs moved since the outbreak and from where they lived | Moved since the start of the COVID-19 pandemic (% of HHs) | Percent of households | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | (*) The recall period is March 1. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:6 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 7 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Labo_farm | 41.008968 | National | All | null | 1,503 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Labor | % of HHs engaged in farming activities | Engaged in farming activities (% of HHs) | Percent of households | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) In SAR region, for respondents who indicate their household receives income from crops, poultry/livestock rearing, sale of related products, fishing/fisheries or is not an agricultural wage worker. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:7 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 38 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_rece | 74.889008 | National | All | null | 2,768 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Health | % of HHs received medical attention over HH that needed medical attention | Received medical attention when needed (% of HHs that needed medical attention) | Percent of households | p | 1 | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:8 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 83 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Labo_nonormalf | 36.356129 | National | All | null | 364 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Labor | % of HHs not able to perform normal farming activities (crop, livestock, fishing) | Unable to perform normal farming activities (crop, livestock, fishing) (% of HHs) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) In SAR region, for respondents who indicate their household receives income from crops, poultry/livestock rearing, sale of related products, fishing/fisheries or is not an agricultural wage worker. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:9 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 98 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Safe_anysource | 12.882578 | National | All | null | 5,056 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Safety Nets | % of HHs received any form assistance since the start of the pandemic | Received any form of assistance since the start of the pandemic (% of HHs) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:10 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 11 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Demo_educ1 | 33.064907 | National | All | null | 7,638 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - No education | Level of education - No education | Percent of respondent | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:11 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 12 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ1 | 47.610874 | National | All | null | 1,503 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - No education | Level of education - No education | Percent of respondent | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:12 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 13 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ1 | 70.007744 | National | All | null | 5,013 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Demographic | % respondent by level of education - No education | Level of education - No education | Percent of respondent | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:13 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 14 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Demo_educ2 | 19.603388 | National | All | null | 7,638 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - Any Primary | Level of education - Any Primary | Percent of respondent | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | (*) The category includes incomplete and completed primary education. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:14 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 15 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ2 | 18.849781 | National | All | null | 1,503 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - Any Primary | Level of education - Any Primary | Percent of respondent | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) The category includes incomplete and completed primary education. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:15 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 16 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Demo_educ3 | 41.728542 | National | All | null | 7,638 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - Any Secondary | Level of education - Any Secondary | Percent of respondent | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | (*) The category includes incomplete and completed secondary education. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:16 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 17 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ3 | 15.522991 | National | All | null | 5,013 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Demographic | % respondent by level of education - Any Secondary | Level of education - Any Secondary | Percent of respondent | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) The category includes incomplete and completed secondary education. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:17 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 18 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ4 | 9.720658 | National | All | null | 5,013 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Demographic | % respondent by level of education - Any Post Secondary | Level of education - Any Post Secondary | Percent of respondent | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) The category includes incomplete post-secondary education and above. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:18 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 19 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_educ4 | 16.111729 | National | All | null | 1,503 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Demographic | % respondent by level of education - Any Post Secondary | Level of education - Any Post Secondary | Percent of respondent | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) The category includes incomplete post-secondary education and above. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:19 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 20 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Demo_male_sample | 69.316849 | National | All | null | 7,685 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Demographic | % Males respondents unweighted | Male respondents (% of respondents unweighted) | Percent of respondent | p | null | 4,753.727051 | 8.466684 | 0 | Unweighted | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:20 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 21 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_male_sample | 52.796276 | National | All | null | 1,502 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Demographic | % Males respondents unweighted | Male respondents (% of respondents unweighted) | Percent of respondent | p | null | 11,832.189453 | 9.378579 | 0 | Unweighted | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:21 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 22 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Demo_male_sample | 70.512566 | National | All | null | 5,053 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Demographic | % Males respondents unweighted | Male respondents (% of respondents unweighted) | Percent of respondent | p | null | 2,065.036377 | 7.632903 | 0 | Unweighted | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:22 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 23 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Fina_access | 4.460135 | National | All | null | 1,500 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Financial | % of HHs that could not access a financial institution (ATM, bank, mobile money) when needed | Could not access a financial institution (ATM, bank, mobile money) when needed (% of HHs needed financial services) | Percent of households | p | 1 | 11,832.189453 | 9.378579 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:23 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 24 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Fina_access | 36.22628 | National | All | null | 7,620 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Financial | % of HHs that could not access a financial institution (ATM, bank, mobile money) when needed | Could not access a financial institution (ATM, bank, mobile money) when needed (% of HHs needed financial services) | Percent of households | p | 1 | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:24 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 25 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Fina_access | 82.040405 | National | All | null | 5,057 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Financial | % of HHs that could not access a financial institution (ATM, bank, mobile money) when needed | Could not access a financial institution (ATM, bank, mobile money) when needed (% of HHs needed financial services) | Percent of households | p | 1 | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:25 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 26 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_need | 25.800106 | National | All | null | 1,501 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Health | % of HHs needing medical treatment since recall period | Needed medical treatment since the recall period (% of HHs) | Percent of households | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) The recall period is March 1. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:26 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 27 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_need | 57.883698 | National | All | null | 5,052 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Health | % of HHs needing medical treatment since recall period | Needed medical treatment since the recall period (% of HHs) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) The recall period is March 1. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:27 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 28 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Heal_reason1 | 74.431297 | National | All | null | 391 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Health | Could not receive medical attention due to lack of money (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to lack of money (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:28 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 29 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_reason1 | 88.281761 | National | All | null | 567 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Health | Could not receive medical attention due to lack of money (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to lack of money (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:29 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 30 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_reason2 | 3.896115 | National | All | null | 567 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Health | Could not receive medical attention due to no medical personnel (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to no medical personnel (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:30 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 31 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Heal_reason2 | 3.04537 | National | All | null | 391 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Health | Could not receive medical attention due to no medical personnel (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to no medical personnel (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:31 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 32 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_reason3 | 3.896115 | National | All | null | 567 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Health | Could not receive medical attention due to medical facility was full (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to medical facility was full (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:32 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 33 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Heal_reason3 | 3.04537 | National | All | null | 391 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Health | Could not receive medical attention due to medical facility was full (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to medical facility was full (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:33 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 34 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Heal_reason8 | 6.35341 | National | All | null | 567 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Health | Could not receive medical attention due to lack of transportation (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to lack of transportation (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:34 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 35 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Heal_reason8 | 3.133897 | National | All | null | 391 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Health | Could not receive medical attention due to lack of transportation (% HHs that could not receive medical attention when needed) | Could not receive medical attention due to lack of transportation (% HHs that could not receive medical attention when needed) | Percent of households | p | null | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:35 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 100 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Safe_coverfood | 13.855802 | National | All | null | 3,492 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Safety Nets | % of HHs received government assistance when reducing food consumption | Received government assistance after reducing food consumption (% of HHs that reduced food consumption) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) Any form of assistance since March 1, denominator all respondents. Not limited to new assistance. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:36 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 10 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Safe_gover | 12.40532 | National | All | null | 5,056 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Safety Nets | % of HHs received any form of government assistance since the start of the pandemic | Received any form of government assistance since the start of the pandemic (% of HHs) | Percent of households | p | 1 | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) Any form of government assistance since March 1, denominator all respondents. Not limited to new assistance. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:37 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 37 | BGD | WAVE1 | 10 | Gender=All, Urb_rur=National. sector=All | Heal_rece | 82.659492 | National | All | null | 2,998 | 7,649 | 2,020 | Bangladesh | SAR | null | Lower middle income | IDA | Health | % of HHs received medical attention over HH that needed medical attention | Received medical attention when needed (% of HHs that needed medical attention) | Percent of households | p | 1 | 4,753.727051 | 8.466684 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:38 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 39 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Hous_ablepayre | 36.461777 | National | All | null | 1,853 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Housing | % of HHs able to pay rent for the next month | Able to pay rent next month (% of HHs) | Percent of households | p | 1 | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) Denominator households that do not own their dwelling (includes but is not limited to renters). | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:39 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 40 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Hous_ablepayre | 82.910629 | National | All | null | 627 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Housing | % of HHs able to pay rent for the next month | Able to pay rent next month (% of HHs) | Percent of households | p | 1 | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) Denominator households that do not own their dwelling (includes but is not limited to renters). | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:40 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 41 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Hous_moved | 4.684922 | National | All | null | 1,422 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Housing | % of HHs moved since the outbreak and from where they lived | Moved since the start of the COVID-19 pandemic (% of HHs) | Percent of households | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | (*) The recall period is March 1. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:41 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 42 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Hous_moved | 3.690965 | National | All | null | 3,034 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Housing | % of HHs moved since the outbreak and from where they lived | Moved since the start of the COVID-19 pandemic (% of HHs) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | (*) The recall period is March 1. | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:42 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 43 | BTN | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Hous_own | 65.415062 | National | All | null | 1,499 | 1,503 | 2,020 | Bhutan | SAR | null | Lower middle income | IDA | Housing | Ownership of current housing(%) | Have ownership of current house (% of HHs) | Percent of households | p | null | 11,832.189453 | 9.378579 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
f7389016-00fb-48d6-b4be-ab0db2c17b77:2-harmonized-indicators:43 | MLI | Mali | 2. Harmonized Indicators | null | South Asia | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19DashboardDataLatest.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | f7389016-00fb-48d6-b4be-ab0db2c17b77 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx | cc-by | 2026-08-13T10:40:31Z | 44 | AFG | WAVE1 | 9 | Gender=All, Urb_rur=National. sector=All | Hous_own | 62.198235 | National | All | null | 5,055 | 5,057 | 2,020 | Afghanistan | SAR | HIGH-INTENSITY CONFLICT | Low income | IDA | Housing | Ownership of current housing(%) | Have ownership of current house (% of HHs) | Percent of households | p | null | 2,065.036377 | 7.632903 | 0 | Individual weight | null | null | null | 02/19/2021 10:05AM | null | null | null | null | null | null | null | null | null | null | null |
End of preview. Expand in Data Studio
COVID-19 High-Frequency indicators | Africa (Mali official open data)
44,556 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Mali as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
- Source: COVID-19 High-Frequency indicators
- Publisher: World Bank Group
- Resource: COVID19DashboardDataLatest.xlsx
- Format:
XLSX - License: CC BY 4.0
- Packaging mode:
tabular_resource
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
MLI |
44,556 | 2020 | 2020 | Mali |
Indicators or Resource Contents
- This source file is packaged as a normalized tabular resource.
Schema
| Column | Type | Description | Example |
|---|---|---|---|
source_record_id |
string |
Stable row identifier for tabular resources. | f7389016-00fb-48d6-b4be-ab0db2c17b77:1-countries-included:0 |
country_iso3 |
category |
ISO3 country code. | MLI |
country_name |
category |
Country name. | Mali |
source_sheet |
string |
Workbook sheet name, when the source is a spreadsheet. | 1. Countries Included |
total_of_countries |
float64 |
Source column. | 8.0 |
region |
string |
Source column. | East Asia Pacific |
list_of_code |
string |
Source column. | IDN LAO MMR MNG PNG PHL SLB KHM |
source_period_start_year |
Int64 |
First year inferred from source resource metadata. | `` |
source_period_end_year |
Int64 |
Last year inferred from source resource metadata. | `` |
source_period_label |
string |
Human-readable period inferred from source resource metadata. | `` |
source_provider |
category |
Publishing organization. | World Bank Group |
source_dataset |
category |
Source package title. | COVID-19 High-Frequency indicators |
source_resource |
category |
Source resource title. | COVID19DashboardDataLatest.xlsx |
source_package_id |
category |
CKAN package UUID. | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 |
source_resource_id |
category |
CKAN resource UUID. | f7389016-00fb-48d6-b4be-ab0db2c17b77 |
source_url |
category |
Original source resource URL. | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/re |
license_id |
category |
Source license identifier. | cc-by |
retrieved_at |
category |
UTC retrieval timestamp. | 2026-08-13T10:40:31Z |
row_id |
float64 |
Source column. | `` |
code |
string |
Source column. | `` |
wave |
string |
Source column. | `` |
month |
float64 |
Source column. | `` |
level_data |
string |
Source column. | `` |
indicator |
string |
Source column. | `` |
indicator_val |
float64 |
Source column. | `` |
urban_rural |
string |
Source column. | `` |
industry |
string |
Source column. | `` |
current_lsector |
string |
Source column. | `` |
sample_subset |
float64 |
Source column. | `` |
sample_total |
float64 |
Source column. | `` |
year |
float64 |
Observation year. | `` |
country |
string |
Source column. | `` |
region_code |
string |
Source column. | `` |
fcs |
string |
Source column. | `` |
income_group |
string |
Source column. | `` |
lending_category |
string |
Source column. | `` |
indicator_topic |
string |
Source column. | `` |
indicator_description |
string |
Source column. | `` |
indicator_display |
string |
Source column. | `` |
unit_measure |
string |
Source column. | `` |
measure_type |
string |
Source column. | `` |
headline_indicator |
float64 |
Source column. | `` |
gdp_pc |
float64 |
Source column. | `` |
ln_gdp_pc |
float64 |
Source column. | `` |
many_waves |
float64 |
Source column. | `` |
weight_type |
string |
Source column. | `` |
footnote |
string |
Source column. | `` |
survey_producer |
string |
Source column. | `` |
survey_link |
string |
Source column. | `` |
last_updated |
string |
Source column. | `` |
indicator_label |
string |
Source column. | `` |
indicator_val_old |
string |
Source column. | `` |
indicator_val_new |
string |
Source column. | `` |
reason |
string |
Source column. | `` |
date |
string |
Observation date. | `` |
data_in_dashboard_new_country |
float64 |
Source column. | `` |
data_in_dashboard_no_change |
float64 |
Source column. | `` |
data_in_dashboard_new_wave |
float64 |
Source column. | `` |
survey_in_progess |
float64 |
Source column. | `` |
flag_new_country |
float64 |
Source column. | `` |
flag_new_wave |
float64 |
Source column. | `` |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-mali-covid-19-high-frequency-indicators-bbc35e39")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
sample_country = df[df["country_iso3"] == "MLI"]
Work with indicators
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
Citation
@misc{electric_sheep_africa_africa_mali_covid_19_high_frequency_indicators_bbc35e39_2020,
title = {COVID-19 High-Frequency indicators | Africa (Mali official open data)},
author = {World Bank Group},
year = {2020},
url = {https://data.humdata.org/dataset/covid-19-high-frequency-indicators},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-covid-19-high-frequency-indicators-bbc35e39}}
}
License
Released under CC BY 4.0.
Original data (c) World Bank Group. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.
About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use load_dataset()
to start working in seconds.
Browse the full collection: huggingface.co/electricsheepafrica
Provenance: ingested 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/f7389016-00fb-48d6-b4be-ab0db2c17b77/download/covid19dashboarddatalatest.xlsx
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