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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:100 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | under_5 | 56,133 | 97.01 | 1,608 | 2.78 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:101 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | women_childbearing | 87,051 | 97.03 | 2,504 | 2.79 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:102 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | adults | 127,674 | 98.39 | 1,765 | 1.36 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:103 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | elderly | 26,675 | 98.4 | 371 | 1.37 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:104 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | school_age | 159,823 | 98.38 | 2,221 | 1.37 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:105 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | total | 349,145 | 98.39 | 4,846 | 1.37 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:106 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | under_5 | 56,928 | 98.38 | 795 | 1.37 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:107 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | women_childbearing | 88,273 | 98.39 | 1,222 | 1.36 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:108 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | adults | 129,106 | 99.49 | 1,432 | 1.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:109 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | elderly | 26,976 | 99.51 | 301 | 1.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:110 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | school_age | 161,627 | 99.49 | 1,804 | 1.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:111 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | total | 353,079 | 99.49 | 3,934 | 1.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:112 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | under_5 | 57,572 | 99.49 | 644 | 1.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:113 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | women_childbearing | 89,266 | 99.49 | 993 | 1.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:114 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | adults | 129,236 | 99.59 | 130 | 0.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:115 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | elderly | 27,001 | 99.6 | 25 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:116 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | school_age | 161,788 | 99.59 | 161 | 0.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:117 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | total | 353,432 | 99.59 | 353 | 0.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:118 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | under_5 | 57,629 | 99.59 | 57 | 0.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:119 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | women_childbearing | 89,355 | 99.59 | 89 | 0.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:120 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | adults | 129,351 | 99.68 | 115 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:121 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | elderly | 27,025 | 99.69 | 24 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:122 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | school_age | 161,933 | 99.68 | 145 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:123 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | total | 353,748 | 99.68 | 316 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:124 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | under_5 | 57,681 | 99.68 | 52 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:125 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | women_childbearing | 89,435 | 99.68 | 80 | 0.09 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:126 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | adults | 129,727 | 99.97 | 376 | 0.29 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:127 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | elderly | 27,103 | 99.97 | 78 | 0.29 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:128 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | school_age | 162,405 | 99.97 | 472 | 0.29 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:129 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | total | 354,776 | 99.97 | 1,028 | 0.29 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:130 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | under_5 | 57,849 | 99.97 | 168 | 0.29 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:131 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | women_childbearing | 89,695 | 99.97 | 260 | 0.29 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:132 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,600 | adults | 129,763 | 100 | 36 | 0.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:133 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,600 | elderly | 27,110 | 100 | 7 | 0.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:134 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,600 | school_age | 162,449 | 100 | 44 | 0.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:135 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,600 | total | 354,872 | 100 | 96 | 0.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:136 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,600 | under_5 | 57,865 | 100 | 16 | 0.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:137 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 6,600 | women_childbearing | 89,720 | 100 | 25 | 0.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:138 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 7,200 | adults | 129,763 | 100 | 0 | 0 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:139 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 7,200 | elderly | 27,110 | 100 | 0 | 0 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:140 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 7,200 | school_age | 162,449 | 100 | 0 | 0 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:141 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 7,200 | total | 354,872 | 100 | 0 | 0 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:142 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 7,200 | under_5 | 57,865 | 100 | 0 | 0 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:143 | CMR | Cameroon | Bamboutos | null | 32672807B7261733805593 | CMR | ADM2 | primary_healthcare | TIME | 7,200 | women_childbearing | 89,720 | 100 | 0 | 0 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:144 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 600 | adults | 151,798 | 23.24 | 151,798 | 23.24 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:145 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 600 | elderly | 13,492 | 23.03 | 13,492 | 23.03 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:146 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 600 | school_age | 149,211 | 23.25 | 149,211 | 23.25 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:147 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 600 | total | 360,317 | 23.23 | 360,317 | 23.23 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:148 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 600 | under_5 | 68,473 | 23.21 | 68,473 | 23.21 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:149 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 600 | women_childbearing | 90,352 | 23.21 | 90,352 | 23.21 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:150 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,200 | adults | 218,059 | 33.39 | 66,261 | 10.15 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:151 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,200 | elderly | 19,382 | 33.08 | 5,890 | 10.05 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:152 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,200 | school_age | 214,342 | 33.4 | 65,131 | 10.15 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:153 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,200 | total | 517,596 | 33.37 | 157,279 | 10.14 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:154 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,200 | under_5 | 98,361 | 33.34 | 29,888 | 10.13 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:155 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,200 | women_childbearing | 129,790 | 33.34 | 39,438 | 10.13 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:156 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,800 | adults | 279,143 | 42.74 | 61,084 | 9.35 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:157 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,800 | elderly | 24,811 | 42.34 | 5,429 | 9.27 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:158 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,800 | school_age | 274,385 | 42.75 | 60,043 | 9.36 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:159 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,800 | total | 662,590 | 42.72 | 144,994 | 9.35 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:160 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,800 | under_5 | 125,915 | 42.68 | 27,554 | 9.34 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:161 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 1,800 | women_childbearing | 166,148 | 42.68 | 36,358 | 9.34 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:162 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 2,400 | adults | 328,913 | 50.36 | 49,770 | 7.62 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:163 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 2,400 | elderly | 29,261 | 49.94 | 4,450 | 7.59 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:164 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 2,400 | school_age | 323,323 | 50.38 | 48,938 | 7.63 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:165 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 2,400 | total | 780,805 | 50.34 | 118,215 | 7.62 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:166 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 2,400 | under_5 | 148,407 | 50.3 | 22,492 | 7.62 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:167 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 2,400 | women_childbearing | 195,802 | 50.3 | 29,654 | 7.62 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:168 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | adults | 362,196 | 55.46 | 33,283 | 5.1 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:169 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | elderly | 32,328 | 55.17 | 3,067 | 5.23 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:170 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | school_age | 356,094 | 55.48 | 32,771 | 5.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:171 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | total | 860,089 | 55.45 | 79,284 | 5.11 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:172 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | under_5 | 163,555 | 55.44 | 15,148 | 5.13 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:173 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,000 | women_childbearing | 215,727 | 55.42 | 19,925 | 5.12 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:174 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | adults | 391,878 | 60 | 29,682 | 4.54 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:175 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | elderly | 35,069 | 59.85 | 2,741 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:176 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | school_age | 385,290 | 60.03 | 29,196 | 4.55 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:177 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | total | 930,757 | 60.01 | 70,668 | 4.56 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:178 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | under_5 | 177,048 | 60.01 | 13,493 | 4.57 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:179 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 3,600 | women_childbearing | 233,498 | 59.98 | 17,771 | 4.56 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:180 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | adults | 450,055 | 68.91 | 58,177 | 8.91 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:181 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | elderly | 40,272 | 68.73 | 5,203 | 8.88 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:182 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | school_age | 442,309 | 68.92 | 57,019 | 8.88 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:183 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | total | 1,068,654 | 68.9 | 137,897 | 8.89 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:184 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | under_5 | 203,218 | 68.88 | 26,170 | 8.87 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:185 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,200 | women_childbearing | 268,144 | 68.88 | 34,646 | 8.9 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:186 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | adults | 480,644 | 73.59 | 30,589 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:187 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | elderly | 43,015 | 73.41 | 2,743 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:188 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | school_age | 472,355 | 73.6 | 30,046 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:189 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | total | 1,141,275 | 73.58 | 72,621 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:190 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | under_5 | 217,028 | 73.56 | 13,810 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:191 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 4,800 | women_childbearing | 286,375 | 73.56 | 18,231 | 4.68 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:192 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | adults | 496,442 | 76.01 | 15,798 | 2.42 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:193 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | elderly | 44,434 | 75.83 | 1,419 | 2.42 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:194 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | school_age | 487,873 | 76.02 | 15,518 | 2.42 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:195 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | total | 1,178,789 | 76 | 37,514 | 2.42 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:196 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | under_5 | 224,166 | 75.98 | 7,138 | 2.42 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:197 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 5,400 | women_childbearing | 295,794 | 75.98 | 9,419 | 2.42 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:198 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | adults | 515,798 | 78.97 | 19,356 | 2.96 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
2f5697b1-693e-4b2c-bd28-e44943d0f3d5:199 | CMR | Cameroon | Benoue | null | 32672807B41938793250317 | CMR | ADM2 | primary_healthcare | TIME | 6,000 | elderly | 46,158 | 78.77 | 1,724 | 2.94 | 2,020 | 2,025 | 2020-2025 | HeiGIT (Heidelberg Institute for Geoinformation Technology) | Cameroon - Accessibility Indicators | CMR_primary_healthcare_access_long.csv | 56b440ed-e069-49b9-96a5-c4ec3a38ece8 | 2f5697b1-693e-4b2c-bd28-e44943d0f3d5 | https://hot.storage.heigit.org/heigit-hdx-public/access/cmr/CMR_primary_healthcare_access_long.csv | cc-by-sa | 2026-08-25T16:58:39Z |
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