household_id stringlengths 8 8 | country stringclasses 14
values | year int64 2.02k 2.03k | location stringclasses 2
values | wealth_quintile stringclasses 5
values | wealth_numeric int64 1 5 | household_size int64 3 11 | gender_head stringclasses 2
values | water_service_level stringclasses 5
values | sanitation_service_level stringclasses 5
values | primary_water_collector stringclasses 6
values | time_water_collection_minutes float64 0 179 | rounds_per_day int64 0 4 | total_collection_time_minutes float64 0 716 | time_poverty bool 2
classes | education_impact_children stringclasses 4
values | disability_in_household bool 2
classes | facility_accessible_disability bool 2
classes | dignity_concerns_reported bool 2
classes | safety_concerns_night bool 2
classes | wait_time_shared_facility_minutes int64 0 29 | water_equity_gap_percentage float64 0 56 | sanitation_equity_gap_percentage float64 0 74 | compound_inequality bool 2
classes | progress_towards_universal_access float64 30 77.5 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HH004701 | Zambia | 2,018 | urban | poorer | 2 | 10 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 25 | 25 | false | 48 |
HH004702 | Nigeria | 2,018 | rural | poorer | 2 | 8 | female | limited | unimproved | girl_child | 16 | 4 | 64 | false | late_for_school | false | false | false | true | 0 | 43 | 50 | false | 47 |
HH004703 | Kenya | 2,018 | urban | poorer | 2 | 7 | female | basic | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 26 | 28 | false | 52 |
HH004704 | Rwanda | 2,022 | rural | poorer | 2 | 8 | female | unimproved | limited | hired | 75 | 1 | 75 | true | none | false | false | false | false | 26 | 39 | 54 | false | 50 |
HH004705 | Malawi | 2,018 | rural | poorer | 2 | 5 | male | unimproved | unimproved | girl_child | 57 | 3 | 171 | true | late_for_school | false | true | false | false | 0 | 46 | 60 | false | 38 |
HH004706 | Nigeria | 2,025 | rural | middle | 3 | 9 | male | unimproved | limited | adult_woman | 46 | 2 | 92 | true | none | false | false | true | false | 20 | 26 | 52 | false | 52.5 |
HH004707 | Mozambique | 2,018 | urban | middle | 3 | 11 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | true | false | false | false | 0 | 16 | 17 | false | 64 |
HH004708 | Tanzania | 2,024 | rural | middle | 3 | 4 | female | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 34 | 37 | false | 56 |
HH004709 | Rwanda | 2,025 | rural | poorest | 1 | 5 | male | basic | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 55 | 57 | false | 35.5 |
HH004710 | Mozambique | 2,019 | rural | poorest | 1 | 5 | female | surface_water | basic | adult_man | 89 | 3 | 267 | true | none | false | false | false | false | 0 | 44 | 57 | false | 32.5 |
HH004711 | Kenya | 2,021 | rural | poorer | 2 | 8 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 47 | 47 | true | 43.5 |
HH004712 | Uganda | 2,023 | rural | poorer | 2 | 10 | male | unimproved | safely_managed | hired | 98 | 3 | 294 | false | none | false | false | false | false | 0 | 34 | 62 | true | 44.5 |
HH004713 | Ethiopia | 2,021 | rural | middle | 3 | 8 | female | unimproved | limited | adult_woman | 118 | 2 | 236 | false | none | false | false | true | false | 6 | 27 | 53 | false | 44.5 |
HH004714 | DRC | 2,019 | rural | poorest | 1 | 9 | female | limited | unimproved | adult_man | 20 | 2 | 40 | false | none | false | false | true | false | 0 | 44 | 70 | false | 44.5 |
HH004715 | Ethiopia | 2,024 | rural | richest | 5 | 6 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 15 | 17 | true | 64 |
HH004716 | Nigeria | 2,018 | urban | middle | 3 | 10 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 14 | 19 | false | 51 |
HH004717 | Senegal | 2,018 | urban | middle | 3 | 6 | male | basic | unimproved | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 21 | 33 | false | 50 |
HH004718 | Uganda | 2,020 | rural | poorest | 1 | 10 | female | basic | open_defecation | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 0 | 49 | 59 | true | 38 |
HH004719 | Zambia | 2,023 | rural | middle | 3 | 10 | female | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 10 | 29 | 36 | false | 42.5 |
HH004720 | DRC | 2,020 | rural | middle | 3 | 4 | male | surface_water | basic | girl_child | 179 | 3 | 537 | true | misses_school | false | true | false | false | 0 | 26 | 50 | false | 45 |
HH004721 | Zambia | 2,018 | rural | poorest | 1 | 9 | male | limited | open_defecation | adult_woman | 40 | 3 | 120 | true | none | false | false | false | false | 0 | 44 | 57 | false | 42 |
HH004722 | Malawi | 2,019 | rural | richest | 5 | 8 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | true | true | false | false | 0 | 17 | 31 | false | 51.5 |
HH004723 | Zambia | 2,022 | rural | middle | 3 | 4 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 33 | 46 | false | 51 |
HH004724 | Zambia | 2,023 | rural | poorest | 1 | 4 | female | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | true | false | false | false | 0 | 49 | 62 | false | 36.5 |
HH004725 | Ethiopia | 2,024 | rural | richest | 5 | 5 | female | limited | safely_managed | boy_child | 35 | 3 | 105 | true | late_for_school | false | false | false | false | 0 | 10 | 18 | false | 54 |
HH004726 | Uganda | 2,023 | urban | poorest | 1 | 4 | male | basic | open_defecation | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 30 | 48 | false | 53.5 |
HH004727 | Kenya | 2,022 | urban | middle | 3 | 8 | male | unimproved | safely_managed | adult_woman | 41 | 4 | 164 | true | none | false | false | false | false | 0 | 23 | 27 | false | 62 |
HH004728 | Ghana | 2,018 | urban | poorer | 2 | 6 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 21 | 43 | true | 54 |
HH004729 | Ethiopia | 2,021 | urban | middle | 3 | 4 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 24 | 15 | false | 62.5 |
HH004730 | Malawi | 2,024 | urban | richest | 5 | 5 | male | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 24 | 8 | 0 | false | 66 |
HH004731 | Kenya | 2,018 | rural | richest | 5 | 10 | female | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 16 | 34 | false | 54 |
HH004732 | Mali | 2,023 | urban | poorer | 2 | 8 | female | unimproved | basic | boy_child | 85 | 4 | 340 | true | late_for_school | true | true | false | false | 0 | 28 | 28 | false | 51.5 |
HH004733 | Niger | 2,021 | rural | poorest | 1 | 3 | female | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 50 | 74 | true | 36.5 |
HH004734 | Uganda | 2,021 | urban | poorer | 2 | 8 | female | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 19 | 30 | false | 53.5 |
HH004735 | Ethiopia | 2,022 | rural | richer | 4 | 10 | male | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 0 | 22 | 34 | false | 47 |
HH004736 | Nigeria | 2,019 | urban | poorest | 1 | 5 | male | basic | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 31 | 50 | false | 52.5 |
HH004737 | Zambia | 2,025 | rural | richer | 4 | 6 | male | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 28 | 20 | 30 | false | 50.5 |
HH004738 | Mozambique | 2,020 | rural | poorest | 1 | 4 | male | unimproved | basic | adult_woman | 57 | 1 | 57 | true | none | false | false | false | false | 0 | 52 | 62 | true | 33 |
HH004739 | Niger | 2,025 | rural | poorest | 1 | 6 | female | surface_water | unimproved | adult_woman | 128 | 2 | 256 | false | none | false | false | true | true | 0 | 47 | 56 | true | 35.5 |
HH004740 | Mozambique | 2,023 | urban | poorer | 2 | 11 | female | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 23 | 37 | false | 60.5 |
HH004741 | Tanzania | 2,021 | rural | richest | 5 | 8 | male | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 0 | 18 | 28 | false | 55.5 |
HH004742 | DRC | 2,024 | urban | richer | 4 | 8 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 10 | 17 | false | 64 |
HH004743 | Tanzania | 2,019 | rural | richer | 4 | 8 | male | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | false | true | 0 | 20 | 38 | true | 50.5 |
HH004744 | Malawi | 2,022 | rural | poorest | 1 | 10 | male | limited | unimproved | adult_woman | 49 | 2 | 98 | false | none | false | false | true | true | 0 | 49 | 58 | true | 37 |
HH004745 | Tanzania | 2,020 | rural | poorest | 1 | 3 | male | surface_water | limited | adult_woman | 175 | 3 | 525 | true | none | false | false | true | false | 20 | 50 | 66 | false | 40 |
HH004746 | Malawi | 2,023 | urban | richest | 5 | 9 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 4 | 3 | false | 75.5 |
HH004747 | Mozambique | 2,021 | urban | richer | 4 | 5 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 5 | 21 | false | 60.5 |
HH004748 | Nigeria | 2,019 | urban | middle | 3 | 11 | female | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | true | true | 0 | 11 | 34 | false | 55.5 |
HH004749 | Kenya | 2,018 | urban | poorest | 1 | 6 | male | limited | limited | adult_woman | 35 | 2 | 70 | true | none | false | false | false | false | 27 | 27 | 44 | true | 53 |
HH004750 | Mali | 2,020 | rural | poorest | 1 | 11 | female | unimproved | limited | adult_man | 115 | 1 | 115 | false | none | false | false | true | false | 21 | 55 | 70 | false | 38 |
HH004751 | Ghana | 2,024 | urban | poorest | 1 | 11 | female | surface_water | safely_managed | adult_woman | 102 | 1 | 102 | true | none | false | true | false | false | 0 | 32 | 50 | false | 50 |
HH004752 | Zambia | 2,019 | rural | poorest | 1 | 3 | male | basic | open_defecation | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 0 | 50 | 64 | false | 44.5 |
HH004753 | Ghana | 2,020 | rural | poorest | 1 | 6 | male | limited | limited | adult_woman | 59 | 3 | 177 | true | none | false | false | false | false | 26 | 49 | 57 | true | 32 |
HH004754 | Ghana | 2,018 | rural | poorest | 1 | 11 | female | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 11 | 51 | 67 | false | 33 |
HH004755 | Kenya | 2,021 | rural | poorest | 1 | 10 | male | limited | open_defecation | girl_child | 27 | 2 | 54 | false | late_for_school | false | false | true | false | 0 | 45 | 66 | false | 34.5 |
HH004756 | Niger | 2,021 | urban | middle | 3 | 4 | male | basic | limited | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 17 | 19 | 31 | false | 56.5 |
HH004757 | Ghana | 2,020 | rural | poorest | 1 | 8 | female | limited | limited | adult_woman | 44 | 4 | 176 | true | none | false | false | true | false | 22 | 45 | 62 | true | 32 |
HH004758 | Uganda | 2,025 | urban | poorer | 2 | 10 | male | unimproved | safely_managed | adult_man | 57 | 4 | 228 | true | none | false | false | false | false | 0 | 24 | 31 | false | 54.5 |
HH004759 | Uganda | 2,021 | rural | middle | 3 | 7 | female | surface_water | unimproved | hired | 62 | 1 | 62 | true | none | false | false | false | true | 0 | 37 | 37 | false | 45.5 |
HH004760 | Mali | 2,018 | rural | poorest | 1 | 5 | male | surface_water | basic | adult_woman | 61 | 3 | 183 | true | none | false | false | false | false | 0 | 53 | 74 | false | 42 |
HH004761 | Rwanda | 2,023 | rural | poorest | 1 | 4 | male | unimproved | safely_managed | adult_woman | 52 | 3 | 156 | false | none | false | true | false | false | 0 | 42 | 61 | false | 39.5 |
HH004762 | Ghana | 2,020 | rural | poorest | 1 | 11 | female | basic | basic | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 48 | 61 | true | 45 |
HH004763 | Ethiopia | 2,022 | rural | richer | 4 | 11 | male | unimproved | safely_managed | adult_woman | 39 | 3 | 117 | true | none | false | false | false | false | 0 | 24 | 37 | false | 48 |
HH004764 | Rwanda | 2,020 | rural | poorer | 2 | 10 | male | basic | open_defecation | on_premises | 0 | 0 | 0 | false | none | true | false | true | false | 0 | 35 | 61 | true | 39 |
HH004765 | Mali | 2,024 | urban | richest | 5 | 6 | male | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | true | true | false | 0 | 5 | 13 | false | 73 |
HH004766 | Malawi | 2,023 | rural | richer | 4 | 4 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 25 | 31 | true | 48.5 |
HH004767 | Kenya | 2,023 | urban | richest | 5 | 9 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 0 | 14 | false | 68.5 |
HH004768 | Malawi | 2,024 | urban | poorer | 2 | 6 | female | unimproved | limited | adult_woman | 73 | 4 | 292 | true | none | false | false | false | false | 18 | 29 | 34 | false | 62 |
HH004769 | Mali | 2,025 | rural | richer | 4 | 6 | male | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 6 | 28 | 25 | false | 53.5 |
HH004770 | Mozambique | 2,019 | rural | richest | 5 | 10 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 24 | 33 | false | 57.5 |
HH004771 | Ethiopia | 2,024 | rural | poorer | 2 | 10 | male | basic | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 35 | 56 | true | 51 |
HH004772 | Malawi | 2,023 | rural | middle | 3 | 7 | female | surface_water | basic | adult_woman | 100 | 3 | 300 | true | none | false | false | false | false | 0 | 26 | 44 | false | 42.5 |
HH004773 | Mozambique | 2,025 | urban | middle | 3 | 5 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 21 | 18 | false | 58.5 |
HH004774 | Zambia | 2,018 | rural | middle | 3 | 8 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 28 | 53 | false | 50 |
HH004775 | Mali | 2,023 | urban | poorest | 1 | 3 | male | basic | open_defecation | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 27 | 48 | false | 53.5 |
HH004776 | Ethiopia | 2,021 | urban | middle | 3 | 4 | male | unimproved | basic | hired | 106 | 3 | 318 | true | none | false | true | false | false | 0 | 25 | 27 | false | 51.5 |
HH004777 | Nigeria | 2,024 | urban | poorer | 2 | 4 | male | limited | unimproved | adult_woman | 19 | 3 | 57 | false | none | false | false | true | false | 0 | 31 | 26 | false | 53 |
HH004778 | Ghana | 2,024 | urban | poorer | 2 | 10 | male | surface_water | safely_managed | boy_child | 102 | 4 | 408 | true | late_for_school | false | true | false | false | 0 | 20 | 41 | false | 52 |
HH004779 | Tanzania | 2,018 | rural | poorer | 2 | 11 | male | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 15 | 34 | 60 | false | 42 |
HH004780 | Tanzania | 2,020 | rural | richest | 5 | 10 | male | basic | open_defecation | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 0 | 12 | 34 | true | 51 |
HH004781 | Kenya | 2,021 | rural | middle | 3 | 4 | female | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 30 | 42 | false | 41.5 |
HH004782 | Niger | 2,024 | rural | middle | 3 | 3 | male | limited | unimproved | adult_woman | 17 | 3 | 51 | false | none | false | false | false | false | 0 | 35 | 51 | false | 43 |
HH004783 | Zambia | 2,025 | rural | richer | 4 | 9 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 32 | 31 | true | 55.5 |
HH004784 | Rwanda | 2,024 | rural | poorest | 1 | 6 | male | basic | unimproved | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 52 | 58 | false | 46 |
HH004785 | Zambia | 2,025 | rural | poorest | 1 | 7 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | true | true | true | false | 0 | 51 | 70 | true | 39.5 |
HH004786 | Kenya | 2,021 | rural | middle | 3 | 6 | male | basic | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 30 | 35 | false | 47.5 |
HH004787 | Rwanda | 2,022 | urban | poorer | 2 | 9 | female | safely_managed | unimproved | on_premises | 0 | 0 | 0 | false | none | false | false | true | true | 0 | 24 | 40 | false | 53 |
HH004788 | DRC | 2,025 | urban | middle | 3 | 11 | male | safely_managed | open_defecation | on_premises | 0 | 0 | 0 | false | none | false | false | true | false | 0 | 22 | 16 | false | 64.5 |
HH004789 | Nigeria | 2,018 | rural | richer | 4 | 4 | male | surface_water | safely_managed | girl_child | 145 | 4 | 580 | false | misses_school | false | false | true | false | 0 | 23 | 32 | false | 47 |
HH004790 | Uganda | 2,020 | rural | poorer | 2 | 5 | male | limited | open_defecation | adult_woman | 53 | 2 | 106 | true | none | false | false | true | true | 0 | 38 | 61 | false | 45 |
HH004791 | DRC | 2,023 | urban | poorer | 2 | 6 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | true | false | false | 0 | 24 | 44 | false | 61.5 |
HH004792 | Ghana | 2,019 | rural | middle | 3 | 9 | male | basic | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 27 | 50 | false | 46.5 |
HH004793 | Zambia | 2,023 | rural | poorer | 2 | 5 | male | surface_water | open_defecation | girl_child | 169 | 4 | 676 | true | misses_school | false | false | true | false | 0 | 39 | 64 | false | 43.5 |
HH004794 | Senegal | 2,019 | rural | middle | 3 | 11 | male | safely_managed | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 31 | 43 | false | 51.5 |
HH004795 | Ethiopia | 2,020 | rural | richest | 5 | 4 | male | safely_managed | limited | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 15 | 15 | 33 | false | 59 |
HH004796 | Ethiopia | 2,018 | rural | poorer | 2 | 10 | female | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 42 | 49 | false | 43 |
HH004797 | Mali | 2,024 | rural | poorest | 1 | 4 | male | limited | basic | hired | 19 | 2 | 38 | false | none | false | false | false | false | 0 | 47 | 57 | true | 42 |
HH004798 | Nigeria | 2,023 | rural | richest | 5 | 11 | male | safely_managed | safely_managed | on_premises | 0 | 0 | 0 | false | none | true | false | true | false | 0 | 22 | 25 | true | 56.5 |
HH004799 | Nigeria | 2,019 | urban | poorest | 1 | 6 | male | basic | basic | on_premises | 0 | 0 | 0 | false | none | false | false | false | false | 0 | 31 | 42 | true | 49.5 |
HH004800 | Zambia | 2,020 | rural | richer | 4 | 7 | male | surface_water | safely_managed | girl_child | 93 | 2 | 186 | true | late_for_school | false | false | false | false | 0 | 19 | 33 | true | 46 |
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