Created
September 23, 2020 21:52
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| - columns: | |
| - column_name: year | |
| is_dttm: true | |
| type: DATETIME | |
| - column_name: country_name | |
| type: VARCHAR(255) | |
| - column_name: region | |
| type: VARCHAR(255) | |
| - column_name: country_code | |
| type: VARCHAR(3) | |
| - column_name: SP_POP_0004_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_0004_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_0004_MA | |
| type: FLOAT | |
| - column_name: SP_POP_0004_FE | |
| type: FLOAT | |
| - column_name: SP_POP_0014_MA_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_0014_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_0014 | |
| type: FLOAT | |
| - column_name: SP_POP_0014_TO_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_0014_TO | |
| type: FLOAT | |
| - column_name: SP_POP_0509_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_0509_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_0509_MA | |
| type: FLOAT | |
| - column_name: SP_POP_0509_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG00_MA_IN | |
| type: FLOAT | |
| - column_name: SP_DYN_LE00_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG00_FE_IN | |
| type: FLOAT | |
| - column_name: SP_DYN_LE00_FE_IN | |
| type: FLOAT | |
| - column_name: SP_DYN_LE00_IN | |
| type: FLOAT | |
| - column_name: SP_POP_1014_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_1014_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_1014_MA | |
| type: FLOAT | |
| - column_name: SP_POP_1014_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG01_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG10_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG01_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG10_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_2024_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_2024_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_2024_MA | |
| type: FLOAT | |
| - column_name: SP_POP_2024_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG02_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG20_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG02_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG20_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_3034_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_3034_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_3034_MA | |
| type: FLOAT | |
| - column_name: SP_POP_3034_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG03_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG03_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_4044_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_4044_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_4044_MA | |
| type: FLOAT | |
| - column_name: SP_POP_4044_FE | |
| type: FLOAT | |
| - column_name: SP_POP_5054_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_5054_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_5054_MA | |
| type: FLOAT | |
| - column_name: SP_POP_5054_FE | |
| type: FLOAT | |
| - column_name: SP_POP_6064_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_6064_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_7074_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_7074_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_6064_MA | |
| type: FLOAT | |
| - column_name: SP_POP_6064_FE | |
| type: FLOAT | |
| - column_name: SP_POP_7074_MA | |
| type: FLOAT | |
| - column_name: SP_POP_7074_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG04_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG04_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_80UP_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_80UP_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_AG05_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG05_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG06_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG06_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG07_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG07_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG08_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG08_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_80UP_MA | |
| type: FLOAT | |
| - column_name: SP_POP_80UP_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG09_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG09_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_1519_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_1519_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_1519_MA | |
| type: FLOAT | |
| - column_name: SP_POP_1519_FE | |
| type: FLOAT | |
| - column_name: SP_MTR_1519_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_AG11_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG11_FE_IN | |
| type: FLOAT | |
| - column_name: SE_ADT_1524_LT_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_CON_1524_MA_ZS | |
| type: FLOAT | |
| - column_name: SE_ADT_1524_LT_FM_ZS | |
| type: FLOAT | |
| - column_name: SE_ADT_1524_LT_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_1524_KW_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_1524_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_CON_1524_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_1524_KW_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_1524_FE_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_AG12_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG21_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG12_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG21_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG13_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG13_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_1564_MA_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_1564_FE_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_1564_TO_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_1564_TO | |
| type: FLOAT | |
| - column_name: SP_POP_AG14_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG14_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG15_MA_IN | |
| type: FLOAT | |
| - column_name: SH_STA_OW15_MA_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_AG15_FE_IN | |
| type: FLOAT | |
| - column_name: SH_STA_OW15_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_OW15_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_AG16_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG16_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG17_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG17_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG18_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG18_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG19_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG19_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_2529_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_2529_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_2529_MA | |
| type: FLOAT | |
| - column_name: SP_POP_2529_FE | |
| type: FLOAT | |
| - column_name: SP_POP_AG22_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG22_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG23_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG23_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG24_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG24_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG25_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_AG25_FE_IN | |
| type: FLOAT | |
| - column_name: SH_H2O_SAFE_RU_ZS | |
| type: FLOAT | |
| - column_name: SH_H2O_SAFE_UR_ZS | |
| type: FLOAT | |
| - column_name: SH_H2O_SAFE_ZS | |
| type: FLOAT | |
| - column_name: SH_MLR_SPF2_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_3539_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_3539_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_3539_MA | |
| type: FLOAT | |
| - column_name: SP_POP_3539_FE | |
| type: FLOAT | |
| - column_name: SH_IMM_HIB3 | |
| type: FLOAT | |
| - column_name: SH_MED_CMHW_P3 | |
| type: FLOAT | |
| - column_name: SH_MED_NUMW_P3 | |
| type: FLOAT | |
| - column_name: SH_IMM_POL3 | |
| type: FLOAT | |
| - column_name: SP_POP_4549_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_4549_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_4549_MA | |
| type: FLOAT | |
| - column_name: SP_POP_4549_FE | |
| type: FLOAT | |
| - column_name: SH_STA_ANV4_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_5559_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_5559_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_5559_MA | |
| type: FLOAT | |
| - column_name: SP_POP_5559_FE | |
| type: FLOAT | |
| - column_name: SP_POP_6569_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_6569_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_7579_MA_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_7579_FE_5Y | |
| type: FLOAT | |
| - column_name: SP_POP_6569_MA | |
| type: FLOAT | |
| - column_name: SP_POP_6569_FE | |
| type: FLOAT | |
| - column_name: SP_DYN_TO65_MA_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_65UP_MA_ZS | |
| type: FLOAT | |
| - column_name: SP_DYN_TO65_FE_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_65UP_FE_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_65UP_TO_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_65UP_TO | |
| type: FLOAT | |
| - column_name: SP_POP_7579_MA | |
| type: FLOAT | |
| - column_name: SP_POP_7579_FE | |
| type: FLOAT | |
| - column_name: SH_STA_MALN_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_WAST_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_DIAB_ZS | |
| type: FLOAT | |
| - column_name: SH_CON_AIDS_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_ARIC_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_ACSN_RU | |
| type: FLOAT | |
| - column_name: SH_STA_ACSN_UR | |
| type: FLOAT | |
| - column_name: SH_STA_ANVC_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_ACSN | |
| type: FLOAT | |
| - column_name: SE_ADT_LITR_MA_ZS | |
| type: FLOAT | |
| - column_name: SP_DYN_SMAM_MA | |
| type: FLOAT | |
| - column_name: SP_DYN_AMRT_MA | |
| type: FLOAT | |
| - column_name: SH_STA_MALN_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_WAST_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_OWGH_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_MALN_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_MALR | |
| type: FLOAT | |
| - column_name: SH_STA_STNT_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_SVR_WAST_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_WAST_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_BRTC_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_BFED_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_BRTW_ZS | |
| type: FLOAT | |
| - column_name: NY_GNP_PCAP_CD | |
| type: FLOAT | |
| - column_name: SH_XPD_PCAP_PP_KD | |
| type: FLOAT | |
| - column_name: SH_CON_AIDS_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_ANM_CHLD_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_PCAP | |
| type: FLOAT | |
| - column_name: SE_SEC_NENR_MA | |
| type: FLOAT | |
| - column_name: SE_SEC_ENRR_MA | |
| type: FLOAT | |
| - column_name: SE_PRM_CMPT_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_IYCF_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_ORCF_ZS | |
| type: FLOAT | |
| - column_name: SH_PRG_ARTC_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_ARTC_ZS | |
| type: FLOAT | |
| - column_name: SI_POV_NAHC | |
| type: FLOAT | |
| - column_name: SH_STA_PNVC_ZS | |
| type: FLOAT | |
| - column_name: SH_VAC_TTNS_ZS | |
| type: FLOAT | |
| - column_name: SH_DYN_AIDS_DH | |
| type: FLOAT | |
| - column_name: SH_DYN_AIDS_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_DYN_AIDS_ZS | |
| type: FLOAT | |
| - column_name: SH_DYN_AIDS | |
| type: FLOAT | |
| - column_name: SE_ADT_LITR_FE_ZS | |
| type: FLOAT | |
| - column_name: SP_DYN_SMAM_FE | |
| type: FLOAT | |
| - column_name: SP_DYN_AMRT_FE | |
| type: FLOAT | |
| - column_name: SE_ADT_LITR_ZS | |
| type: FLOAT | |
| - column_name: SP_ADO_TFRT | |
| type: FLOAT | |
| - column_name: SH_DYN_MORT_MA | |
| type: FLOAT | |
| - column_name: SP_DYN_IMRT_MA_IN | |
| type: FLOAT | |
| - column_name: SE_PRM_NENR_MA | |
| type: FLOAT | |
| - column_name: SE_PRM_ENRR_MA | |
| type: FLOAT | |
| - column_name: SH_STA_OWGH_FE_ZS | |
| type: FLOAT | |
| - column_name: SP_HOU_FEMA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_STNT_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_SVR_WAST_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_MMR_WAGE_ZS | |
| type: FLOAT | |
| - column_name: SH_PRG_ANEM | |
| type: FLOAT | |
| - column_name: SH_IMM_MEAS | |
| type: FLOAT | |
| - column_name: SH_STA_MMRT_NE | |
| type: FLOAT | |
| - column_name: SL_UEM_TOTL_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_FPL_SATI_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_OWGH_ZS | |
| type: FLOAT | |
| - column_name: SH_ANM_NPRG_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_KNOW_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_STA_ORTH | |
| type: FLOAT | |
| - column_name: SH_PRV_SMOK_MA | |
| type: FLOAT | |
| - column_name: SH_STA_MMRT | |
| type: FLOAT | |
| - column_name: SH_STA_STNT_ZS | |
| type: FLOAT | |
| - column_name: SH_SVR_WAST_ZS | |
| type: FLOAT | |
| - column_name: SN_ITK_VITA_ZS | |
| type: FLOAT | |
| - column_name: SN_ITK_SALT_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_TOTL_MA_IN | |
| type: FLOAT | |
| - column_name: SP_POP_TOTL_MA_ZS | |
| type: FLOAT | |
| - column_name: SH_TBS_DTEC_ZS | |
| type: FLOAT | |
| - column_name: SH_TBS_INCD | |
| type: FLOAT | |
| - column_name: SP_DYN_CBRT_IN | |
| type: FLOAT | |
| - column_name: SH_TBS_CURE_ZS | |
| type: FLOAT | |
| - column_name: SH_IMM_IBCG | |
| type: FLOAT | |
| - column_name: SH_MED_BEDS_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_PUBL_GX_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_PUBL_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_PUBL | |
| type: FLOAT | |
| - column_name: SP_REG_BRTH_RU_ZS | |
| type: FLOAT | |
| - column_name: SP_REG_BRTH_UR_ZS | |
| type: FLOAT | |
| - column_name: SP_REG_BRTH_ZS | |
| type: FLOAT | |
| - column_name: SH_IMM_HEPB | |
| type: FLOAT | |
| - column_name: SH_TBS_PREV | |
| type: FLOAT | |
| - column_name: SP_POP_BRTH_MF | |
| type: FLOAT | |
| - column_name: SP_URB_GROW | |
| type: FLOAT | |
| - column_name: SH_TBS_MORT | |
| type: FLOAT | |
| - column_name: SP_URB_TOTL_IN_ZS | |
| type: FLOAT | |
| - column_name: SP_URB_TOTL | |
| type: FLOAT | |
| - column_name: SH_XPD_TOTL_CD | |
| type: FLOAT | |
| - column_name: SP_DYN_CDRT_IN | |
| type: FLOAT | |
| - column_name: SN_ITK_DEFC_ZS | |
| type: FLOAT | |
| - column_name: SN_ITK_DEFC | |
| type: FLOAT | |
| - column_name: SH_DTH_COMM_ZS | |
| type: FLOAT | |
| - column_name: SH_DTH_NCOM_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_OOPC_TO_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_OOPC_ZS | |
| type: FLOAT | |
| - column_name: SP_DYN_CONU_ZS | |
| type: FLOAT | |
| - column_name: SE_SEC_NENR_FE | |
| type: FLOAT | |
| - column_name: SE_SEC_ENRR_FE | |
| type: FLOAT | |
| - column_name: SE_SEC_NENR | |
| type: FLOAT | |
| - column_name: SE_SEC_ENRR | |
| type: FLOAT | |
| - column_name: SE_PRM_CMPT_FE_ZS | |
| type: FLOAT | |
| - column_name: SE_PRM_CMPT_ZS | |
| type: FLOAT | |
| - column_name: SI_POV_RUHC | |
| type: FLOAT | |
| - column_name: SI_POV_URHC | |
| type: FLOAT | |
| - column_name: SE_XPD_TOTL_GD_ZS | |
| type: FLOAT | |
| - column_name: SP_POP_DPND_YG | |
| type: FLOAT | |
| - column_name: SP_POP_DPND_OL | |
| type: FLOAT | |
| - column_name: SP_POP_DPND | |
| type: FLOAT | |
| - column_name: SH_DYN_MORT_FE | |
| type: FLOAT | |
| - column_name: SP_DYN_IMRT_FE_IN | |
| type: FLOAT | |
| - column_name: SP_REG_DTHS_ZS | |
| type: FLOAT | |
| - column_name: SH_MED_PHYS_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_EXTR_ZS | |
| type: FLOAT | |
| - column_name: SP_DYN_TFRT_IN | |
| type: FLOAT | |
| - column_name: SP_DYN_WFRT | |
| type: FLOAT | |
| - column_name: SH_DTH_INJR_ZS | |
| type: FLOAT | |
| - column_name: SH_DTH_IMRT | |
| type: FLOAT | |
| - column_name: SH_MMR_DTHS | |
| type: FLOAT | |
| - column_name: SH_DTH_NMRT | |
| type: FLOAT | |
| - column_name: SH_DTH_MORT | |
| type: FLOAT | |
| - column_name: SH_IMM_IDPT | |
| type: FLOAT | |
| - column_name: SH_XPD_PRIV_ZS | |
| type: FLOAT | |
| - column_name: SH_XPD_PRIV | |
| type: FLOAT | |
| - column_name: SH_XPD_TOTL_ZS | |
| type: FLOAT | |
| - column_name: SH_DYN_NMRT | |
| type: FLOAT | |
| - column_name: SH_DYN_MORT | |
| type: FLOAT | |
| - column_name: SP_DYN_IMRT_IN | |
| type: FLOAT | |
| - column_name: SE_TER_ENRR_FE | |
| type: FLOAT | |
| - column_name: SE_PRM_NENR_FE | |
| type: FLOAT | |
| - column_name: SE_PRM_ENRR_FE | |
| type: FLOAT | |
| - column_name: SE_TER_ENRR | |
| type: FLOAT | |
| - column_name: SL_EMP_INSV_FE_ZS | |
| type: FLOAT | |
| - column_name: SL_UEM_TOTL_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_MMR_LEVE | |
| type: FLOAT | |
| - column_name: SE_ENR_ORPH | |
| type: FLOAT | |
| - column_name: SE_PRM_NENR | |
| type: FLOAT | |
| - column_name: SE_PRM_ENRR | |
| type: FLOAT | |
| - column_name: SL_TLF_TOTL_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_HIV_KNOW_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_PRV_SMOK_FE | |
| type: FLOAT | |
| - column_name: SP_POP_TOTL_FE_IN | |
| type: FLOAT | |
| - column_name: SP_POP_TOTL_FE_ZS | |
| type: FLOAT | |
| - column_name: SH_MLR_PREG_ZS | |
| type: FLOAT | |
| - column_name: SH_MLR_NETS_ZS | |
| type: FLOAT | |
| - column_name: SH_MLR_TRET_ZS | |
| type: FLOAT | |
| - column_name: SL_UEM_TOTL_ZS | |
| type: FLOAT | |
| - column_name: SM_POP_NETM | |
| type: FLOAT | |
| - column_name: SL_TLF_TOTL_IN | |
| type: FLOAT | |
| - column_name: SP_UWT_TFRT | |
| type: FLOAT | |
| - column_name: SH_PRG_SYPH_ZS | |
| type: FLOAT | |
| - column_name: SP_RUR_TOTL_ZG | |
| type: FLOAT | |
| - column_name: SP_POP_GROW | |
| type: FLOAT | |
| - column_name: SH_HIV_ORPH | |
| type: FLOAT | |
| - column_name: SH_HIV_TOTL | |
| type: FLOAT | |
| - column_name: SH_MMR_RISK_ZS | |
| type: FLOAT | |
| - column_name: SH_MMR_RISK | |
| type: FLOAT | |
| - column_name: SP_POP_TOTL | |
| type: FLOAT | |
| - column_name: SP_RUR_TOTL_ZS | |
| type: FLOAT | |
| - column_name: SP_RUR_TOTL | |
| type: FLOAT | |
| description: "<!--\nLicensed to the Apache Software Foundation (ASF) under one\n\ | |
| or more contributor license agreements. See the NOTICE file\ndistributed with\ | |
| \ this work for additional information\nregarding copyright ownership. The ASF\ | |
| \ licenses this file\nto you under the Apache License, Version 2.0 (the\n\"License\"\ | |
| ); you may not use this file except in compliance\nwith the License. You may\ | |
| \ obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\ | |
| \nUnless required by applicable law or agreed to in writing,\nsoftware distributed\ | |
| \ under the License is distributed on an\n\"AS IS\" BASIS, WITHOUT WARRANTIES\ | |
| \ OR CONDITIONS OF ANY\nKIND, either express or implied. See the License for\ | |
| \ the\nspecific language governing permissions and limitations\nunder the License.\n\ | |
| -->\nThis data was downloaded from the\n[World's Health Organization's website](https://datacatalog.worldbank.org/dataset/health-nutrition-and-population-statistics)\n\ | |
| \nHere's the script that was used to massage the data:\n\n DIR = \"\"\n \ | |
| \ df_country = pd.read_csv(DIR + '/HNP_Country.csv')\n df_country.columns =\ | |
| \ ['country_code'] + list(df_country.columns[1:])\n df_country = df_country[['country_code',\ | |
| \ 'Region']]\n df_country.columns = ['country_code', 'region']\n\n df =\ | |
| \ pd.read_csv(DIR + '/HNP_Data.csv')\n del df['Unnamed: 60']\n df.columns\ | |
| \ = ['country_name', 'country_code'] + list(df.columns[2:])\n ndf = df.merge(df_country,\ | |
| \ how='inner')\n\n dims = ('country_name', 'country_code', 'region')\n vv\ | |
| \ = [str(i) for i in range(1960, 2015)]\n mdf = pd.melt(ndf, id_vars=dims +\ | |
| \ ('Indicator Code',), value_vars=vv)\n mdf['year'] = mdf.variable + '-01-01'\n\ | |
| \ dims = dims + ('year',)\n\n pdf = mdf.pivot_table(values='value', columns='Indicator\ | |
| \ Code', index=dims)\n pdf = pdf.reset_index()\n pdf.to_csv(DIR + '/countries.csv')\n\ | |
| \ pdf.to_json(DIR + '/countries.json', orient='records')\n\nHere's the description\ | |
| \ of the metrics available:\n\nSeries | Code Indicator Name\n--- | ---\nNY.GNP.PCAP.CD\ | |
| \ | GNI per capita, Atlas method (current US$)\nSE.ADT.1524.LT.FM.ZS | Literacy\ | |
| \ rate, youth (ages 15-24), gender parity index (GPI)\nSE.ADT.1524.LT.MA.ZS |\ | |
| \ Literacy rate, youth male (% of males ages 15-24)\nSE.ADT.1524.LT.ZS | Literacy\ | |
| \ rate, youth total (% of people ages 15-24)\nSE.ADT.LITR.FE.ZS | Literacy rate,\ | |
| \ adult female (% of females ages 15 and above)\nSE.ADT.LITR.MA.ZS | Literacy\ | |
| \ rate, adult male (% of males ages 15 and above)\nSE.ADT.LITR.ZS | Literacy rate,\ | |
| \ adult total (% of people ages 15 and above)\nSE.ENR.ORPH | Ratio of school attendance\ | |
| \ of orphans to school attendance of non-orphans ages 10-14\nSE.PRM.CMPT.FE.ZS\ | |
| \ | Primary completion rate, female (% of relevant age group)\nSE.PRM.CMPT.MA.ZS\ | |
| \ | Primary completion rate, male (% of relevant age group)\nSE.PRM.CMPT.ZS |\ | |
| \ Primary completion rate, total (% of relevant age group)\nSE.PRM.ENRR | School\ | |
| \ enrollment, primary (% gross)\nSE.PRM.ENRR.FE | School enrollment, primary,\ | |
| \ female (% gross)\nSE.PRM.ENRR.MA | School enrollment, primary, male (% gross)\n\ | |
| SE.PRM.NENR | School enrollment, primary (% net)\nSE.PRM.NENR.FE | School enrollment,\ | |
| \ primary, female (% net)\nSE.PRM.NENR.MA | School enrollment, primary, male (%\ | |
| \ net)\nSE.SEC.ENRR | School enrollment, secondary (% gross)\nSE.SEC.ENRR.FE |\ | |
| \ School enrollment, secondary, female (% gross)\nSE.SEC.ENRR.MA | School enrollment,\ | |
| \ secondary, male (% gross)\nSE.SEC.NENR | School enrollment, secondary (% net)\n\ | |
| SE.SEC.NENR.FE | School enrollment, secondary, female (% net)\nSE.SEC.NENR.MA\ | |
| \ | School enrollment, secondary, male (% net)\nSE.TER.ENRR | School enrollment,\ | |
| \ tertiary (% gross)\nSE.TER.ENRR.FE | School enrollment, tertiary, female (%\ | |
| \ gross)\nSE.XPD.TOTL.GD.ZS | Government expenditure on education, total (% of\ | |
| \ GDP)\nSH.ANM.CHLD.ZS | Prevalence of anemia among children (% of children under\ | |
| \ 5)\nSH.ANM.NPRG.ZS | Prevalence of anemia among non-pregnant women (% of women\ | |
| \ ages 15-49)\nSH.CON.1524.FE.ZS | Condom use, population ages 15-24, female (%\ | |
| \ of females ages 15-24)\nSH.CON.1524.MA.ZS | Condom use, population ages 15-24,\ | |
| \ male (% of males ages 15-24)\nSH.CON.AIDS.FE.ZS | Condom use at last high-risk\ | |
| \ sex, adult female (% ages 15-49)\nSH.CON.AIDS.MA.ZS | Condom use at last high-risk\ | |
| \ sex, adult male (% ages 15-49)\nSH.DTH.COMM.ZS | Cause of death, by communicable\ | |
| \ diseases and maternal, prenatal and nutrition conditions (% of total)\nSH.DTH.IMRT\ | |
| \ | Number of infant deaths\nSH.DTH.INJR.ZS | Cause of death, by injury (% of\ | |
| \ total)\nSH.DTH.MORT | Number of under-five deaths\nSH.DTH.NCOM.ZS | Cause of\ | |
| \ death, by non-communicable diseases (% of total)\nSH.DTH.NMRT | Number of neonatal\ | |
| \ deaths\nSH.DYN.AIDS | Adults (ages 15+) living with HIV\nSH.DYN.AIDS.DH | AIDS\ | |
| \ estimated deaths (UNAIDS estimates)\nSH.DYN.AIDS.FE.ZS | Women's share of population\ | |
| \ ages 15+ living with HIV (%)\nSH.DYN.AIDS.ZS | Prevalence of HIV, total (% of\ | |
| \ population ages 15-49)\nSH.DYN.MORT | Mortality rate, under-5 (per 1,000 live\ | |
| \ births)\nSH.DYN.MORT.FE | Mortality rate, under-5, female (per 1,000 live births)\n\ | |
| SH.DYN.MORT.MA | Mortality rate, under-5, male (per 1,000 live births)\nSH.DYN.NMRT\ | |
| \ | Mortality rate, neonatal (per 1,000 live births)\nSH.FPL.SATI.ZS | Met need\ | |
| \ for contraception (% of married women ages 15-49)\nSH.H2O.SAFE.RU.ZS | Improved\ | |
| \ water source, rural (% of rural population with access)\nSH.H2O.SAFE.UR.ZS |\ | |
| \ Improved water source, urban (% of urban population with access)\nSH.H2O.SAFE.ZS\ | |
| \ | Improved water source (% of population with access)\nSH.HIV.0014 | Children\ | |
| \ (0-14) living with HIV\nSH.HIV.1524.FE.ZS | Prevalence of HIV, female (% ages\ | |
| \ 15-24)\nSH.HIV.1524.KW.FE.ZS | Comprehensive correct knowledge of HIV/AIDS,\ | |
| \ ages 15-24, female (2 prevent ways and reject 3 misconceptions)\nSH.HIV.1524.KW.MA.ZS\ | |
| \ | Comprehensive correct knowledge of HIV/AIDS, ages 15-24, male (2 prevent ways\ | |
| \ and reject 3 misconceptions)\nSH.HIV.1524.MA.ZS | Prevalence of HIV, male (%\ | |
| \ ages 15-24)\nSH.HIV.ARTC.ZS | Antiretroviral therapy coverage (% of people living\ | |
| \ with HIV)\nSH.HIV.KNOW.FE.ZS | % of females ages 15-49 having comprehensive\ | |
| \ correct knowledge about HIV (2 prevent ways and reject 3 misconceptions)\nSH.HIV.KNOW.MA.ZS\ | |
| \ | % of males ages 15-49 having comprehensive correct knowledge about HIV (2\ | |
| \ prevent ways and reject 3 misconceptions)\nSH.HIV.ORPH | Children orphaned by\ | |
| \ HIV/AIDS\nSH.HIV.TOTL | Adults (ages 15+) and children (0-14 years) living with\ | |
| \ HIV\nSH.IMM.HEPB | Immunization, HepB3 (% of one-year-old children)\nSH.IMM.HIB3\ | |
| \ | Immunization, Hib3 (% of children ages 12-23 months)\nSH.IMM.IBCG | Immunization,\ | |
| \ BCG (% of one-year-old children)\nSH.IMM.IDPT | Immunization, DPT (% of children\ | |
| \ ages 12-23 months)\nSH.IMM.MEAS | Immunization, measles (% of children ages\ | |
| \ 12-23 months)\nSH.IMM.POL3 | Immunization, Pol3 (% of one-year-old children)\n\ | |
| SH.MED.BEDS.ZS | Hospital beds (per 1,000 people)\nSH.MED.CMHW.P3 | Community\ | |
| \ health workers (per 1,000 people)\nSH.MED.NUMW.P3 | Nurses and midwives (per\ | |
| \ 1,000 people)\nSH.MED.PHYS.ZS | Physicians (per 1,000 people)\nSH.MLR.NETS.ZS\ | |
| \ | Use of insecticide-treated bed nets (% of under-5 population)\nSH.MLR.PREG.ZS\ | |
| \ | Use of any antimalarial drug (% of pregnant women)\nSH.MLR.SPF2.ZS | Use of\ | |
| \ Intermittent Preventive Treatment of malaria, 2+ doses of SP/Fansidar (% of\ | |
| \ pregnant women)\nSH.MLR.TRET.ZS | Children with fever receiving antimalarial\ | |
| \ drugs (% of children under age 5 with fever)\nSH.MMR.DTHS | Number of maternal\ | |
| \ deaths\nSH.MMR.LEVE | Number of weeks of maternity leave\nSH.MMR.RISK | Lifetime\ | |
| \ risk of maternal death (1 in: rate varies by country)\nSH.MMR.RISK.ZS | Lifetime\ | |
| \ risk of maternal death (%)\nSH.MMR.WAGE.ZS | Maternal leave benefits (% of wages\ | |
| \ paid in covered period)\nSH.PRG.ANEM | Prevalence of anemia among pregnant women\ | |
| \ (%)\nSH.PRG.ARTC.ZS | Antiretroviral therapy coverage (% of pregnant women living\ | |
| \ with HIV)\nSH.PRG.SYPH.ZS | Prevalence of syphilis (% of women attending antenatal\ | |
| \ care)\nSH.PRV.SMOK.FE | Smoking prevalence, females (% of adults)\nSH.PRV.SMOK.MA\ | |
| \ | Smoking prevalence, males (% of adults)\nSH.STA.ACSN | Improved sanitation\ | |
| \ facilities (% of population with access)\nSH.STA.ACSN.RU | Improved sanitation\ | |
| \ facilities, rural (% of rural population with access)\nSH.STA.ACSN.UR | Improved\ | |
| \ sanitation facilities, urban (% of urban population with access)\nSH.STA.ANV4.ZS\ | |
| \ | Pregnant women receiving prenatal care of at least four visits (% of pregnant\ | |
| \ women)\nSH.STA.ANVC.ZS | Pregnant women receiving prenatal care (%)\nSH.STA.ARIC.ZS\ | |
| \ | ARI treatment (% of children under 5 taken to a health provider)\nSH.STA.BFED.ZS\ | |
| \ | Exclusive breastfeeding (% of children under 6 months)\nSH.STA.BRTC.ZS | Births\ | |
| \ attended by skilled health staff (% of total)\nSH.STA.BRTW.ZS | Low-birthweight\ | |
| \ babies (% of births)\nSH.STA.DIAB.ZS | Diabetes prevalence (% of population\ | |
| \ ages 20 to 79)\nSH.STA.IYCF.ZS | Infant and young child feeding practices, all\ | |
| \ 3 IYCF (% children ages 6-23 months)\nSH.STA.MALN.FE.ZS | Prevalence of underweight,\ | |
| \ weight for age, female (% of children under 5)\nSH.STA.MALN.MA.ZS | Prevalence\ | |
| \ of underweight, weight for age, male (% of children under 5)\nSH.STA.MALN.ZS\ | |
| \ | Prevalence of underweight, weight for age (% of children under 5)\nSH.STA.MALR\ | |
| \ | Malaria cases reported\nSH.STA.MMRT | Maternal mortality ratio (modeled estimate,\ | |
| \ per 100,000 live births)\nSH.STA.MMRT.NE | Maternal mortality ratio (national\ | |
| \ estimate, per 100,000 live births)\nSH.STA.ORCF.ZS | Diarrhea treatment (% of\ | |
| \ children under 5 receiving oral rehydration and continued feeding)\nSH.STA.ORTH\ | |
| \ | Diarrhea treatment (% of children under 5 who received ORS packet)\nSH.STA.OW15.FE.ZS\ | |
| \ | Prevalence of overweight, female (% of female adults)\nSH.STA.OW15.MA.ZS |\ | |
| \ Prevalence of overweight, male (% of male adults)\nSH.STA.OW15.ZS | Prevalence\ | |
| \ of overweight (% of adults)\nSH.STA.OWGH.FE.ZS | Prevalence of overweight, weight\ | |
| \ for height, female (% of children under 5)\nSH.STA.OWGH.MA.ZS | Prevalence of\ | |
| \ overweight, weight for height, male (% of children under 5)\nSH.STA.OWGH.ZS\ | |
| \ | Prevalence of overweight, weight for height (% of children under 5)\nSH.STA.PNVC.ZS\ | |
| \ | Postnatal care coverage (% mothers)\nSH.STA.STNT.FE.ZS | Prevalence of stunting,\ | |
| \ height for age, female (% of children under 5)\nSH.STA.STNT.MA.ZS | Prevalence\ | |
| \ of stunting, height for age, male (% of children under 5)\nSH.STA.STNT.ZS |\ | |
| \ Prevalence of stunting, height for age (% of children under 5)\nSH.STA.WAST.FE.ZS\ | |
| \ | Prevalence of wasting, weight for height, female (% of children under 5)\n\ | |
| SH.STA.WAST.MA.ZS | Prevalence of wasting, weight for height, male (% of children\ | |
| \ under 5)\nSH.STA.WAST.ZS | Prevalence of wasting, weight for height (% of children\ | |
| \ under 5)\nSH.SVR.WAST.FE.ZS | Prevalence of severe wasting, weight for height,\ | |
| \ female (% of children under 5)\nSH.SVR.WAST.MA.ZS | Prevalence of severe wasting,\ | |
| \ weight for height, male (% of children under 5)\nSH.SVR.WAST.ZS | Prevalence\ | |
| \ of severe wasting, weight for height (% of children under 5)\nSH.TBS.CURE.ZS\ | |
| \ | Tuberculosis treatment success rate (% of new cases)\nSH.TBS.DTEC.ZS | Tuberculosis\ | |
| \ case detection rate (%, all forms)\nSH.TBS.INCD | Incidence of tuberculosis\ | |
| \ (per 100,000 people)\nSH.TBS.MORT | Tuberculosis death rate (per 100,000 people)\n\ | |
| SH.TBS.PREV | Prevalence of tuberculosis (per 100,000 population)\nSH.VAC.TTNS.ZS\ | |
| \ | Newborns protected against tetanus (%)\nSH.XPD.EXTR.ZS | External resources\ | |
| \ for health (% of total expenditure on health)\nSH.XPD.OOPC.TO.ZS | Out-of-pocket\ | |
| \ health expenditure (% of total expenditure on health)\nSH.XPD.OOPC.ZS | Out-of-pocket\ | |
| \ health expenditure (% of private expenditure on health)\nSH.XPD.PCAP | Health\ | |
| \ expenditure per capita (current US$)\nSH.XPD.PCAP.PP.KD | Health expenditure\ | |
| \ per capita, PPP (constant 2011 international $)\nSH.XPD.PRIV | Health expenditure,\ | |
| \ private (% of total health expenditure)\nSH.XPD.PRIV.ZS | Health expenditure,\ | |
| \ private (% of GDP)\nSH.XPD.PUBL | Health expenditure, public (% of total health\ | |
| \ expenditure)\nSH.XPD.PUBL.GX.ZS | Health expenditure, public (% of government\ | |
| \ expenditure)\nSH.XPD.PUBL.ZS | Health expenditure, public (% of GDP)\nSH.XPD.TOTL.CD\ | |
| \ | Health expenditure, total (current US$)\nSH.XPD.TOTL.ZS | Health expenditure,\ | |
| \ total (% of GDP)\nSI.POV.NAHC | Poverty headcount ratio at national poverty\ | |
| \ lines (% of population)\nSI.POV.RUHC | Rural poverty headcount ratio at national\ | |
| \ poverty lines (% of rural population)\nSI.POV.URHC | Urban poverty headcount\ | |
| \ ratio at national poverty lines (% of urban population)\nSL.EMP.INSV.FE.ZS |\ | |
| \ Share of women in wage employment in the nonagricultural sector (% of total\ | |
| \ nonagricultural employment)\nSL.TLF.TOTL.FE.ZS | Labor force, female (% of total\ | |
| \ labor force)\nSL.TLF.TOTL.IN | Labor force, total\nSL.UEM.TOTL.FE.ZS | Unemployment,\ | |
| \ female (% of female labor force) (modeled ILO estimate)\nSL.UEM.TOTL.MA.ZS |\ | |
| \ Unemployment, male (% of male labor force) (modeled ILO estimate)\nSL.UEM.TOTL.ZS\ | |
| \ | Unemployment, total (% of total labor force) (modeled ILO estimate)\nSM.POP.NETM\ | |
| \ | Net migration\nSN.ITK.DEFC | Number of people who are undernourished\nSN.ITK.DEFC.ZS\ | |
| \ | Prevalence of undernourishment (% of population)\nSN.ITK.SALT.ZS | Consumption\ | |
| \ of iodized salt (% of households)\nSN.ITK.VITA.ZS | Vitamin A supplementation\ | |
| \ coverage rate (% of children ages 6-59 months)\nSP.ADO.TFRT | Adolescent fertility\ | |
| \ rate (births per 1,000 women ages 15-19)\nSP.DYN.AMRT.FE | Mortality rate, adult,\ | |
| \ female (per 1,000 female adults)\nSP.DYN.AMRT.MA | Mortality rate, adult, male\ | |
| \ (per 1,000 male adults)\nSP.DYN.CBRT.IN | Birth rate, crude (per 1,000 people)\n\ | |
| SP.DYN.CDRT.IN | Death rate, crude (per 1,000 people)\nSP.DYN.CONU.ZS | Contraceptive\ | |
| \ prevalence (% of women ages 15-49)\nSP.DYN.IMRT.FE.IN | Mortality rate, infant,\ | |
| \ female (per 1,000 live births)\nSP.DYN.IMRT.IN | Mortality rate, infant (per\ | |
| \ 1,000 live births)\nSP.DYN.IMRT.MA.IN | Mortality rate, infant, male (per 1,000\ | |
| \ live births)\nSP.DYN.LE00.FE.IN | Life expectancy at birth, female (years)\n\ | |
| SP.DYN.LE00.IN | Life expectancy at birth, total (years)\nSP.DYN.LE00.MA.IN |\ | |
| \ Life expectancy at birth, male (years)\nSP.DYN.SMAM.FE | Mean age at first marriage,\ | |
| \ female\nSP.DYN.SMAM.MA | Mean age at first marriage, male\nSP.DYN.TFRT.IN |\ | |
| \ Fertility rate, total (births per woman)\nSP.DYN.TO65.FE.ZS | Survival to age\ | |
| \ 65, female (% of cohort)\nSP.DYN.TO65.MA.ZS | Survival to age 65, male (% of\ | |
| \ cohort)\nSP.DYN.WFRT | Wanted fertility rate (births per woman)\nSP.HOU.FEMA.ZS\ | |
| \ | Female headed households (% of households with a female head)\nSP.MTR.1519.ZS\ | |
| \ | Teenage mothers (% of women ages 15-19 who have had children or are currently\ | |
| \ pregnant)\nSP.POP.0004.FE | Population ages 0-4, female\nSP.POP.0004.FE.5Y |\ | |
| \ Population ages 0-4, female (% of female population)\nSP.POP.0004.MA | Population\ | |
| \ ages 0-4, male\nSP.POP.0004.MA.5Y | Population ages 0-4, male (% of male population)\n\ | |
| SP.POP.0014.FE.ZS | Population ages 0-14, female (% of total)\nSP.POP.0014.MA.ZS\ | |
| \ | Population ages 0-14, male (% of total)\nSP.POP.0014.TO | Population ages\ | |
| \ 0-14, total\nSP.POP.0014.TO.ZS | Population ages 0-14 (% of total)\nSP.POP.0509.FE\ | |
| \ | Population ages 5-9, female\nSP.POP.0509.FE.5Y | Population ages 5-9, female\ | |
| \ (% of female population)\nSP.POP.0509.MA | Population ages 5-9, male\nSP.POP.0509.MA.5Y\ | |
| \ | Population ages 5-9, male (% of male population)\nSP.POP.1014.FE | Population\ | |
| \ ages 10-14, female\nSP.POP.1014.FE.5Y | Population ages 10-14, female (% of\ | |
| \ female population)\nSP.POP.1014.MA | Population ages 10-14, male\nSP.POP.1014.MA.5Y\ | |
| \ | Population ages 10-14, male (% of male population)\nSP.POP.1519.FE | Population\ | |
| \ ages 15-19, female\nSP.POP.1519.FE.5Y | Population ages 15-19, female (% of\ | |
| \ female population)\nSP.POP.1519.MA | Population ages 15-19, male\nSP.POP.1519.MA.5Y\ | |
| \ | Population ages 15-19, male (% of male population)\nSP.POP.1564.FE.ZS | Population\ | |
| \ ages 15-64, female (% of total)\nSP.POP.1564.MA.ZS | Population ages 15-64,\ | |
| \ male (% of total)\nSP.POP.1564.TO | Population ages 15-64, total\nSP.POP.1564.TO.ZS\ | |
| \ | Population ages 15-64 (% of total)\nSP.POP.2024.FE | Population ages 20-24,\ | |
| \ female\nSP.POP.2024.FE.5Y | Population ages 20-24, female (% of female population)\n\ | |
| SP.POP.2024.MA | Population ages 20-24, male\nSP.POP.2024.MA.5Y | Population ages\ | |
| \ 20-24, male (% of male population)\nSP.POP.2529.FE | Population ages 25-29,\ | |
| \ female\nSP.POP.2529.FE.5Y | Population ages 25-29, female (% of female population)\n\ | |
| SP.POP.2529.MA | Population ages 25-29, male\nSP.POP.2529.MA.5Y | Population ages\ | |
| \ 25-29, male (% of male population)\nSP.POP.3034.FE | Population ages 30-34,\ | |
| \ female\nSP.POP.3034.FE.5Y | Population ages 30-34, female (% of female population)\n\ | |
| SP.POP.3034.MA | Population ages 30-34, male\nSP.POP.3034.MA.5Y | Population ages\ | |
| \ 30-34, male (% of male population)\nSP.POP.3539.FE | Population ages 35-39,\ | |
| \ female\nSP.POP.3539.FE.5Y | Population ages 35-39, female (% of female population)\n\ | |
| SP.POP.3539.MA | Population ages 35-39, male\nSP.POP.3539.MA.5Y | Population ages\ | |
| \ 35-39, male (% of male population)\nSP.POP.4044.FE | Population ages 40-44,\ | |
| \ female\nSP.POP.4044.FE.5Y | Population ages 40-44, female (% of female population)\n\ | |
| SP.POP.4044.MA | Population ages 40-44, male\nSP.POP.4044.MA.5Y | Population ages\ | |
| \ 40-44, male (% of male population)\nSP.POP.4549.FE | Population ages 45-49,\ | |
| \ female\nSP.POP.4549.FE.5Y | Population ages 45-49, female (% of female population)\n\ | |
| SP.POP.4549.MA | Population ages 45-49, male\nSP.POP.4549.MA.5Y | Population ages\ | |
| \ 45-49, male (% of male population)\nSP.POP.5054.FE | Population ages 50-54,\ | |
| \ female\nSP.POP.5054.FE.5Y | Population ages 50-54, female (% of female population)\n\ | |
| SP.POP.5054.MA | Population ages 50-54, male\nSP.POP.5054.MA.5Y | Population ages\ | |
| \ 50-54, male (% of male population)\nSP.POP.5559.FE | Population ages 55-59,\ | |
| \ female\nSP.POP.5559.FE.5Y | Population ages 55-59, female (% of female population)\n\ | |
| SP.POP.5559.MA | Population ages 55-59, male\nSP.POP.5559.MA.5Y | Population ages\ | |
| \ 55-59, male (% of male population)\nSP.POP.6064.FE | Population ages 60-64,\ | |
| \ female\nSP.POP.6064.FE.5Y | Population ages 60-64, female (% of female population)\n\ | |
| SP.POP.6064.MA | Population ages 60-64, male\nSP.POP.6064.MA.5Y | Population ages\ | |
| \ 60-64, male (% of male population)\nSP.POP.6569.FE | Population ages 65-69,\ | |
| \ female\nSP.POP.6569.FE.5Y | Population ages 65-69, female (% of female population)\n\ | |
| SP.POP.6569.MA | Population ages 65-69, male\nSP.POP.6569.MA.5Y | Population ages\ | |
| \ 65-69, male (% of male population)\nSP.POP.65UP.FE.ZS | Population ages 65 and\ | |
| \ above, female (% of total)\nSP.POP.65UP.MA.ZS | Population ages 65 and above,\ | |
| \ male (% of total)\nSP.POP.65UP.TO | Population ages 65 and above, total\nSP.POP.65UP.TO.ZS\ | |
| \ | Population ages 65 and above (% of total)\nSP.POP.7074.FE | Population ages\ | |
| \ 70-74, female\nSP.POP.7074.FE.5Y | Population ages 70-74, female (% of female\ | |
| \ population)\nSP.POP.7074.MA | Population ages 70-74, male\nSP.POP.7074.MA.5Y\ | |
| \ | Population ages 70-74, male (% of male population)\nSP.POP.7579.FE | Population\ | |
| \ ages 75-79, female\nSP.POP.7579.FE.5Y | Population ages 75-79, female (% of\ | |
| \ female population)\nSP.POP.7579.MA | Population ages 75-79, male\nSP.POP.7579.MA.5Y\ | |
| \ | Population ages 75-79, male (% of male population)\nSP.POP.80UP.FE | Population\ | |
| \ ages 80 and above, female\nSP.POP.80UP.FE.5Y | Population ages 80 and above,\ | |
| \ female (% of female population)\nSP.POP.80UP.MA | Population ages 80 and above,\ | |
| \ male\nSP.POP.80UP.MA.5Y | Population ages 80 and above, male (% of male population)\n\ | |
| SP.POP.AG00.FE.IN | Age population, age 0, female, interpolated\nSP.POP.AG00.MA.IN\ | |
| \ | Age population, age 0, male, interpolated\nSP.POP.AG01.FE.IN | Age population,\ | |
| \ age 01, female, interpolated\nSP.POP.AG01.MA.IN | Age population, age 01, male,\ | |
| \ interpolated\nSP.POP.AG02.FE.IN | Age population, age 02, female, interpolated\n\ | |
| SP.POP.AG02.MA.IN | Age population, age 02, male, interpolated\nSP.POP.AG03.FE.IN\ | |
| \ | Age population, age 03, female, interpolated\nSP.POP.AG03.MA.IN | Age population,\ | |
| \ age 03, male, interpolated\nSP.POP.AG04.FE.IN | Age population, age 04, female,\ | |
| \ interpolated\nSP.POP.AG04.MA.IN | Age population, age 04, male, interpolated\n\ | |
| SP.POP.AG05.FE.IN | Age population, age 05, female, interpolated\nSP.POP.AG05.MA.IN\ | |
| \ | Age population, age 05, male, interpolated\nSP.POP.AG06.FE.IN | Age population,\ | |
| \ age 06, female, interpolated\nSP.POP.AG06.MA.IN | Age population, age 06, male,\ | |
| \ interpolated\nSP.POP.AG07.FE.IN | Age population, age 07, female, interpolated\n\ | |
| SP.POP.AG07.MA.IN | Age population, age 07, male, interpolated\nSP.POP.AG08.FE.IN\ | |
| \ | Age population, age 08, female, interpolated\nSP.POP.AG08.MA.IN | Age population,\ | |
| \ age 08, male, interpolated\nSP.POP.AG09.FE.IN | Age population, age 09, female,\ | |
| \ interpolated\nSP.POP.AG09.MA.IN | Age population, age 09, male, interpolated\n\ | |
| SP.POP.AG10.FE.IN | Age population, age 10, female, interpolated\nSP.POP.AG10.MA.IN\ | |
| \ | Age population, age 10, male\nSP.POP.AG11.FE.IN | Age population, age 11,\ | |
| \ female, interpolated\nSP.POP.AG11.MA.IN | Age population, age 11, male\nSP.POP.AG12.FE.IN\ | |
| \ | Age population, age 12, female, interpolated\nSP.POP.AG12.MA.IN | Age population,\ | |
| \ age 12, male\nSP.POP.AG13.FE.IN | Age population, age 13, female, interpolated\n\ | |
| SP.POP.AG13.MA.IN | Age population, age 13, male\nSP.POP.AG14.FE.IN | Age population,\ | |
| \ age 14, female, interpolated\nSP.POP.AG14.MA.IN | Age population, age 14, male\n\ | |
| SP.POP.AG15.FE.IN | Age population, age 15, female, interpolated\nSP.POP.AG15.MA.IN\ | |
| \ | Age population, age 15, male, interpolated\nSP.POP.AG16.FE.IN | Age population,\ | |
| \ age 16, female, interpolated\nSP.POP.AG16.MA.IN | Age population, age 16, male,\ | |
| \ interpolated\nSP.POP.AG17.FE.IN | Age population, age 17, female, interpolated\n\ | |
| SP.POP.AG17.MA.IN | Age population, age 17, male, interpolated\nSP.POP.AG18.FE.IN\ | |
| \ | Age population, age 18, female, interpolated\nSP.POP.AG18.MA.IN | Age population,\ | |
| \ age 18, male, interpolated\nSP.POP.AG19.FE.IN | Age population, age 19, female,\ | |
| \ interpolated\nSP.POP.AG19.MA.IN | Age population, age 19, male, interpolated\n\ | |
| SP.POP.AG20.FE.IN | Age population, age 20, female, interpolated\nSP.POP.AG20.MA.IN\ | |
| \ | Age population, age 20, male, interpolated\nSP.POP.AG21.FE.IN | Age population,\ | |
| \ age 21, female, interpolated\nSP.POP.AG21.MA.IN | Age population, age 21, male,\ | |
| \ interpolated\nSP.POP.AG22.FE.IN | Age population, age 22, female, interpolated\n\ | |
| SP.POP.AG22.MA.IN | Age population, age 22, male, interpolated\nSP.POP.AG23.FE.IN\ | |
| \ | Age population, age 23, female, interpolated\nSP.POP.AG23.MA.IN | Age population,\ | |
| \ age 23, male, interpolated\nSP.POP.AG24.FE.IN | Age population, age 24, female,\ | |
| \ interpolated\nSP.POP.AG24.MA.IN | Age population, age 24, male, interpolated\n\ | |
| SP.POP.AG25.FE.IN | Age population, age 25, female, interpolated\nSP.POP.AG25.MA.IN\ | |
| \ | Age population, age 25, male, interpolated\nSP.POP.BRTH.MF | Sex ratio at\ | |
| \ birth (male births per female births)\nSP.POP.DPND | Age dependency ratio (%\ | |
| \ of working-age population)\nSP.POP.DPND.OL | Age dependency ratio, old (% of\ | |
| \ working-age population)\nSP.POP.DPND.YG | Age dependency ratio, young (% of\ | |
| \ working-age population)\nSP.POP.GROW | Population growth (annual %)\nSP.POP.TOTL\ | |
| \ | Population, total\nSP.POP.TOTL.FE.IN | Population, female\nSP.POP.TOTL.FE.ZS\ | |
| \ | Population, female (% of total)\nSP.POP.TOTL.MA.IN | Population, male\nSP.POP.TOTL.MA.ZS\ | |
| \ | Population, male (% of total)\nSP.REG.BRTH.RU.ZS | Completeness of birth registration,\ | |
| \ rural (%)\nSP.REG.BRTH.UR.ZS | Completeness of birth registration, urban (%)\n\ | |
| SP.REG.BRTH.ZS | Completeness of birth registration (%)\nSP.REG.DTHS.ZS | Completeness\ | |
| \ of death registration with cause-of-death information (%)\nSP.RUR.TOTL | Rural\ | |
| \ population\nSP.RUR.TOTL.ZG | Rural population growth (annual %)\nSP.RUR.TOTL.ZS\ | |
| \ | Rural population (% of total population)\nSP.URB.GROW | Urban population growth\ | |
| \ (annual %)\nSP.URB.TOTL | Urban population\nSP.URB.TOTL.IN.ZS | Urban population\ | |
| \ (% of total)\nSP.UWT.TFRT | Unmet need for contraception (% of married women\ | |
| \ ages 15-49)\n" | |
| filter_select_enabled: true | |
| main_dttm_col: year | |
| metrics: | |
| - expression: COUNT(*) | |
| metric_name: count | |
| metric_type: count | |
| verbose_name: COUNT(*) | |
| - expression: sum("SP_DYN_LE00_IN") | |
| metric_name: sum__SP_DYN_LE00_IN | |
| - expression: sum("SH_DYN_AIDS") | |
| metric_name: sum__SH_DYN_AIDS | |
| - expression: sum("SP_POP_TOTL") | |
| metric_name: sum__SP_POP_TOTL | |
| - expression: sum("SP_RUR_TOTL_ZS") | |
| metric_name: sum__SP_RUR_TOTL_ZS | |
| - expression: sum("SP_RUR_TOTL") | |
| metric_name: sum__SP_RUR_TOTL | |
| table_name: wb_health_population |
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