Dataset: World Bank Gender Statistics

About this Dataset

World Bank Gender Statistics

The World Bank Gender Statistics dataset provides a comprehensive range of gender-related indicators grouped by various topics. These indicators are categorized under different themes such as education, employment and time use, entrepreneurship, environment, health, leadership, norms and decision-making, technology, violence, and contextual information. Each category contains numerous specific indicators, covering a wide range of issues such as literacy rates, employment by sector, legal rights, health statistics, and more. This dataset offers detailed information and insights into various aspects of gender disparity and equality across different regions and countries.

Tables

World Bank Gender Statistics

@owid.gender_statistics.owid_gender_statistics_1

13.92 MB
14903 rows
1157 columns


CREATE TABLE owid_gender_statistics_1 (
  "country" VARCHAR,
  "year" INTEGER,
  "account_t_d" FLOAT,
  "account_t_d_1" FLOAT,
  "account_t_d_2" FLOAT,
  "borrow_any" FLOAT,
  "borrow_any_1" FLOAT,
  "borrow_any_2" FLOAT,
  "fin10_1a" FLOAT,
  "fin10_1a_s" FLOAT,
  "fin10_1b" FLOAT,
  "fin10_1b_s" FLOAT,
  "fin10_1c" FLOAT,
  "fin10_1c_s" FLOAT,
  "fin10_1d" FLOAT,
  "fin10_1d_s" FLOAT,
  "fin10_1e" FLOAT,
  "fin10_1e_s" FLOAT,
  "fin10a" FLOAT,
  "fin10a_s" FLOAT,
  "fin11_1" FLOAT,
  "fin11a" FLOAT,
  "fin11a_s" FLOAT,
  "fin11b" FLOAT,
  "fin11b_s" FLOAT,
  "fin11c" FLOAT,
  "fin11c_s" FLOAT,
  "fin11d" FLOAT,
  "fin11d_s" FLOAT,
  "fin11e" FLOAT,
  "fin11e_s" FLOAT,
  "fin11f" FLOAT,
  "fin11f_s" FLOAT,
  "fin11g" FLOAT,
  "fin11g_s" FLOAT,
  "fin13_1a" FLOAT,
  "fin13_1a_s" FLOAT,
  "fin13_1b" FLOAT,
  "fin13_1b_s" FLOAT,
  "fin13_1c" FLOAT,
  "fin13_1c_s" FLOAT,
  "fin13_1d" FLOAT,
  "fin13_1d_s" FLOAT,
  "fin13_1e" FLOAT,
  "fin13_1e_s" FLOAT,
  "fin13_1f" FLOAT,
  "fin13_1f_s" FLOAT,
  "fin13a" FLOAT,
  "fin13a_s" FLOAT,
  "fin13d" FLOAT,
  "fin13d_s" FLOAT,
  "fin14_1_d" FLOAT,
  "fin14_1_d_1" FLOAT,
  "fin14_1_d_2" FLOAT,
  "fin14_2" FLOAT,
  "fin14_2_s" FLOAT,
  "fin14a1_d" FLOAT,
  "fin14a1_d_1" FLOAT,
  "fin14a1_d_2" FLOAT,
  "fin14a_t_d" FLOAT,
  "fin14a_t_d_1" FLOAT,
  "fin14a_t_d_2" FLOAT,
  "fin14b_t_d" FLOAT,
  "fin14b_t_d_1" FLOAT,
  "fin14b_t_d_2" FLOAT,
  "fin14c2" FLOAT,
  "fin15_t_d_2017" FLOAT,
  "fin15_t_d_2017_1" FLOAT,
  "fin15_t_d_2017_2" FLOAT,
  "fin16_t_d" FLOAT,
  "fin16_t_d_1" FLOAT,
  "fin16_t_d_2" FLOAT,
  "fin17a1_d" FLOAT,
  "fin17a1_d_1" FLOAT,
  "fin17a1_d_2" FLOAT,
  "fin17a_17a1_d" FLOAT,
  "fin17a_17a1_d_1" FLOAT,
  "fin17a_17a1_d_2" FLOAT,
  "fin17a_t_d" FLOAT,
  "fin17a_t_d_1" FLOAT,
  "fin17a_t_d_2" FLOAT,
  "fin17b_t_d" FLOAT,
  "fin17b_t_d_1" FLOAT,
  "fin17b_t_d_2" FLOAT,
  "fin17c_d_2014" FLOAT,
  "fin17c_d_2014_1" FLOAT,
  "fin17c_d_2014_2" FLOAT,
  "fin1_1a" FLOAT,
  "fin1_1ab" FLOAT,
  "fin1_1b" FLOAT,
  "fin1_t_d" FLOAT,
  "fin1_t_d_1" FLOAT,
  "fin1_t_d_2" FLOAT,
  "fin20_t_d" FLOAT,
  "fin20_t_d_1" FLOAT,
  "fin20_t_d_2" FLOAT,
  "fin21_t_d_2017" FLOAT,
  "fin21_t_d_2017_1" FLOAT,
  "fin21_t_d_2017_2" FLOAT,
  "fin21b_2014" FLOAT
);

World Bank Gender Statistics

@owid.gender_statistics.owid_gender_statistics_2

14.18 MB
15124 rows
1156 columns


CREATE TABLE owid_gender_statistics_2 (
  "country" VARCHAR,
  "year" INTEGER,
  "fp_cpi_totl_zg" FLOAT,
  "hd_hci_amrt" FLOAT,
  "hd_hci_amrt_fe" FLOAT,
  "hd_hci_amrt_ma" FLOAT,
  "hd_hci_eyrs" FLOAT,
  "hd_hci_eyrs_fe" FLOAT,
  "hd_hci_eyrs_ma" FLOAT,
  "hd_hci_hlos" FLOAT,
  "hd_hci_hlos_fe" FLOAT,
  "hd_hci_hlos_ma" FLOAT,
  "hd_hci_lays" FLOAT,
  "hd_hci_lays_fe" FLOAT,
  "hd_hci_lays_ma" FLOAT,
  "hd_hci_mort" FLOAT,
  "hd_hci_mort_fe" FLOAT,
  "hd_hci_mort_ma" FLOAT,
  "hd_hci_ovrl" FLOAT,
  "hd_hci_ovrl_fe" FLOAT,
  "hd_hci_ovrl_lb" FLOAT,
  "hd_hci_ovrl_lb_fe" FLOAT,
  "hd_hci_ovrl_lb_ma" FLOAT,
  "hd_hci_ovrl_ma" FLOAT,
  "hd_hci_ovrl_ub" FLOAT,
  "hd_hci_ovrl_ub_fe" FLOAT,
  "hd_hci_ovrl_ub_ma" FLOAT,
  "hd_hci_stnt" FLOAT,
  "hd_hci_stnt_fe" FLOAT,
  "hd_hci_stnt_ma" FLOAT,
  "ic_frm_femm_zs" FLOAT,
  "ic_frm_femo_zs" FLOAT,
  "ic_reg_cost_pc_fe_zs" FLOAT,
  "ic_reg_cost_pc_ma_zs" FLOAT,
  "ic_reg_cost_pc_zs" FLOAT,
  "ic_reg_durs" FLOAT,
  "ic_reg_durs_fe" FLOAT,
  "ic_reg_durs_ma" FLOAT,
  "ic_reg_proc" FLOAT,
  "ic_reg_proc_fe" FLOAT,
  "ic_reg_proc_ma" FLOAT,
  "ic_wef_llcd_fe" FLOAT,
  "ic_wef_llcd_fe_zs" FLOAT,
  "ic_wef_llcd_ma" FLOAT,
  "ic_wef_llcd_ma_zs" FLOAT,
  "ic_wef_llco_fe" FLOAT,
  "ic_wef_llco_fe_zs" FLOAT,
  "ic_wef_llco_ma" FLOAT,
  "ic_wef_llco_ma_zs" FLOAT,
  "ic_wef_solo_fe" FLOAT,
  "ic_wef_solo_fe_zs" FLOAT,
  "ic_wef_solo_ma" FLOAT,
  "ic_wef_solo_ma_zs" FLOAT,
  "id_own_totl_fe_zs" FLOAT,
  "id_own_totl_ma_zs" FLOAT,
  "internet" FLOAT,
  "ny_gdp_mktp_cd" FLOAT,
  "ny_gdp_mktp_kd_zg" FLOAT,
  "ny_gdp_pcap_cd" FLOAT,
  "ny_gdp_pcap_kd" FLOAT,
  "ny_gnp_atls_cd" FLOAT,
  "ny_gnp_pcap_cd" FLOAT,
  "ny_gnp_pcap_pp_cd" FLOAT,
  "own_phone" FLOAT,
  "se_adt_1524_lt_fe_zs" FLOAT,
  "se_adt_1524_lt_fm_zs" FLOAT,
  "se_adt_1524_lt_ma_zs" FLOAT,
  "se_adt_1524_lt_zs" FLOAT,
  "se_adt_litr_fe_zs" FLOAT,
  "se_adt_litr_ma_zs" FLOAT,
  "se_adt_litr_zs" FLOAT,
  "se_enr_prim_fm_zs" FLOAT,
  "se_enr_prsc_fm_zs" FLOAT,
  "se_enr_seco_fm_zs" FLOAT,
  "se_enr_tert_fm_zs" FLOAT,
  "se_lpv_prim" FLOAT,
  "se_lpv_prim_bmp" FLOAT,
  "se_lpv_prim_bmp_fe" FLOAT,
  "se_lpv_prim_bmp_ma" FLOAT,
  "se_lpv_prim_fe" FLOAT,
  "se_lpv_prim_ma" FLOAT,
  "se_lpv_prim_oos_fe" FLOAT,
  "se_lpv_prim_oos_ma" FLOAT,
  "se_pre_enrr" FLOAT,
  "se_pre_enrr_fe" FLOAT,
  "se_pre_enrr_ma" FLOAT,
  "se_prm_cmpl_fe_zs" FLOAT,
  "se_prm_cmpl_ma_zs" FLOAT,
  "se_prm_cmpl_zs" FLOAT,
  "se_prm_cmpt_fe_zs" FLOAT,
  "se_prm_cmpt_ma_zs" FLOAT,
  "se_prm_cmpt_zs" FLOAT,
  "se_prm_cuat_fe_zs" FLOAT,
  "se_prm_cuat_ma_zs" FLOAT,
  "se_prm_cuat_zs" FLOAT,
  "se_prm_enrl_fe_zs" FLOAT,
  "se_prm_enrr" FLOAT,
  "se_prm_enrr_fe" FLOAT,
  "se_prm_enrr_ma" FLOAT,
  "se_prm_gint_zs" FLOAT
);