3 further sources (Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
a_Own |
a_Own | integer | SEL | 0% | 1 | 5728586 |
b_Rented |
b_Rented | integer | SEL | 0% | 1 | 850562 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
c_Institutnl |
c_Institutnl | integer | 0% | 1 | 36809 |
d_Other |
d_Other | integer | 0% | 1 | 44884 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 1 | 2200886 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 1 | 1984029 |
c_RCC |
c_RCC | integer | 0% | 1 | 1492693 |
d_WoodPillar |
d_WoodPillar | integer | 0% | 1 | 944148 |
e_Other |
e_Other | integer | 0% | 1 | 39085 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 1 | 2042978 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 1 | 3474957 |
c_Wood |
c_Wood | integer | 0% | 1 | 210694 |
d_Bamboo |
d_Bamboo | integer | 0% | 1 | 779922 |
e_UnbakeBrick |
e_UnbakeBrick | integer | 0% | 1 | 28141 |
f_GalvSheet |
f_GalvSheet | integer | 0% | 1 | 80989 |
g_Prefab |
g_Prefab | integer | 0% | 1 | 2064 |
h_Other |
h_Other | integer | 0% | 1 | 41096 |
|
- | string | 0% | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_GalvSheet |
a_GalvSheet | integer | 0% | 1 | 2793342 |
b_Cement |
b_Cement | integer | 0% | 1 | 2515093 |
c_Thatch |
c_Thatch | integer | 0% | 1 | 260006 |
d_Tile |
d_Tile | integer | 0% | 1 | 613912 |
e_Stone |
e_Stone | integer | 0% | 1 | 405771 |
f_Wood |
f_Wood | integer | 0% | 1 | 18190 |
g_Mud |
g_Mud | integer | 0% | 1 | 47642 |
h_Other |
h_Other | integer | 0% | 1 | 6885 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_Mud |
a_Mud | integer | 0% | 1 | 3074510 |
b_Wooden |
b_Wooden | integer | 0% | 1 | 135503 |
c_BrickStone |
c_BrickStone | integer | 0% | 1 | 91236 |
d_Ceramic |
d_Ceramic | integer | 0% | 1 | 180603 |
e_Cemented |
e_Cemented | integer | 0% | 1 | 3151140 |
f_Other |
f_Other | integer | 0% | 1 | 27849 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
dwellings_with_piped_water |
dwellings_with_piped_water | integer | SEL | 0% | 1 | 3794861 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_TapPiped1 |
a_TapPiped1 | integer | 0% | 1 | 2304015 |
b_TapPiped2 |
b_TapPiped2 | integer | 0% | 1 | 1490846 |
c_Tubewell |
c_Tubewell | integer | 0% | 1 | 1982180 |
d_CoveredWell |
d_CoveredWell | integer | 0% | 1 | 102235 |
e_UncoverWell |
e_UncoverWell | integer | 0% | 1 | 141857 |
f_Spoutwater |
f_Spoutwater | integer | 0% | 1 | 262044 |
g_RiverStream |
g_RiverStream | integer | 0% | 1 | 23827 |
h_JarBottle |
h_JarBottle | integer | 0% | 1 | 308388 |
i_Others |
i_Others | integer | 0% | 1 | 45449 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_firewood |
a_firewood | integer | 0% | 1 | 3398316 |
b_LPGas |
b_LPGas | integer | 0% | 1 | 2949995 |
c_Electricity |
c_Electricity | integer | 0% | 1 | 32574 |
d_Cowdung |
d_Cowdung | integer | 0% | 1 | 191531 |
e_BioGas |
e_BioGas | integer | 0% | 1 | 78406 |
f_Kerosene |
f_Kerosene | integer | 0% | 1 | 3297 |
g_Others |
g_Others | integer | 0% | 1 | 6722 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
a_Electricity |
a_Electricity | integer | SEL | 0% | 1 | 6139141 |
electricity_access_pct |
electricity_access_pct | float | SEL | 0% | 1 | 98.7626 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
b_Solar |
b_Solar | integer | 0% | 1 | 439282 |
c_Kerosene |
c_Kerosene | integer | 0% | 1 | 38907 |
d_BioGas |
d_BioGas | integer | 0% | 1 | 2032 |
e_Others |
e_Others | integer | 0% | 1 | 41479 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_FlushToilet1 |
a_FlushToilet1 | integer | 0% | 1 | 653710 |
b_FlushToilet2 |
b_FlushToilet2 | integer | 0% | 1 | 3667780 |
c_Ordinary |
c_Ordinary | integer | 0% | 1 | 2005480 |
d_Public |
d_Public | integer | 0% | 1 | 32381 |
e_NoToilet |
e_NoToilet | integer | 0% | 1 | 301490 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
f_Computer |
f_Computer | integer | SEL | 0% | 1 | 998478 |
g_Internet |
g_Internet | integer | SEL | 0% | 1 | 2514510 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
x_NoFacility |
x_NoFacility | integer | 0% | 1 | 258540 |
atleastOne |
atleastOne | integer | 0% | 1 | 6402301 |
a_Radio |
a_Radio | integer | 0% | 1 | 2280123 |
b_TV |
b_TV | integer | 0% | 1 | 3291185 |
c_LandLinePhone |
c_LandLinePhone | integer | 0% | 1 | 301604 |
d_MobilePhone1 |
d_MobilePhone1 | integer | 0% | 1 | 4876561 |
e_MobilePhone2 |
e_MobilePhone2 | integer | 0% | 1 | 4862885 |
h_CarJeep |
h_CarJeep | integer | 0% | 1 | 204990 |
i_Motorcycle |
i_Motorcycle | integer | 0% | 1 | 1816121 |
j_Bicycle |
j_Bicycle | integer | 0% | 1 | 2347433 |
k_ElectricFan |
k_ElectricFan | integer | 0% | 1 | 3535338 |
l_Refrigerator |
l_Refrigerator | integer | 0% | 1 | 1577195 |
m_WashingMachine |
m_WashingMachine | integer | 0% | 1 | 279637 |
n_AirConditionr |
n_AirConditionr | integer | 0% | 1 | 56601 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
a_HouseOnly |
a_HouseOnly | integer | 0% | 1 | 156376 |
b_LandOnly |
b_LandOnly | integer | 0% | 1 | 643675 |
c_HouseAndLand |
c_HouseAndLand | integer | 0% | 1 | 788917 |
d_NoOwnership |
d_NoOwnership | integer | 0% | 1 | 4966548 |
e_notstd |
e_notstd | integer | 0% | 1 | 105325 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
rowtotal |
rowtotal | integer | 0% | 1 | 6660841 |
NoBusiness |
NoBusiness | integer | 0% | 1 | 6011349 |
a_Cottage_m |
a_Cottage_m | integer | 0% | 1 | 72536 |
a_Cottage_f |
a_Cottage_f | integer | 0% | 1 | 65108 |
b_Trade_m |
b_Trade_m | integer | 0% | 1 | 155866 |
b_Trade_f |
b_Trade_f | integer | 0% | 1 | 154985 |
c_Transprt_m |
c_Transprt_m | integer | 0% | 1 | 27559 |
c_Transprt_f |
c_Transprt_f | integer | 0% | 1 | 7097 |
d_Service_m |
d_Service_m | integer | 0% | 1 | 43937 |
d_Service_f |
d_Service_f | integer | 0% | 1 | 25240 |
e_Others_m |
e_Others_m | integer | 0% | 1 | 45635 |
e_Others_f |
e_Others_f | integer | 0% | 1 | 29924 |
notstd |
notstd | integer | 0% | 1 | 21605 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
TotHhld |
TotHhld | integer | 0% | 1 | 6660841 |
deadHhld |
deadHhld | integer | 0% | 1 | 192178 |
total |
total | integer | 0% | 1 | 198463 |
male |
male | integer | 0% | 1 | 114946 |
female |
female | integer | 0% | 1 | 83517 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP, NP, NP, NP, NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0, 0, 0, 0, 0 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
dname |
dname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 20 | 198463, 7152, 2980, 2001, 2103 |
a_male |
a_male | integer | 0% | 20 | 114946, 4206, 1634, 1121, 1050 |
b_female |
b_female | integer | 0% | 20 | 83517, 2946, 1346, 880, 1053 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP, NP, NP, NP, NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0, 0, 0, 0, 0 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
dname |
dname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 60 | 198463, 7152, 2980, 2001, 2103 |
a_Transf |
a_Transf | integer | 0% | 60 | 25049, 996, 561, 233, 195 |
b_nonTransf |
b_nonTransf | integer | 0% | 60 | 98736, 1789, 1133, 731, 702 |
c_roadAccidnt |
c_roadAccidnt | integer | 0% | 55 | 3807, 50, 67, 89, 93 |
d_othrAccidnt |
d_othrAccidnt | integer | 0% | 58 | 7902, 275, 308, 257, 306 |
e_pregnancy |
e_pregnancy | integer | 0% | 9 | 653, 0, 0, 0, 0 |
f_crime |
f_crime | integer | 0% | 46 | 1117, 16, 23, 27, 28 |
g_sucide |
g_sucide | integer | 0% | 55 | 5271, 13, 23, 28, 261 |
h_naturlCalamaty |
h_naturlCalamaty | integer | 0% | 55 | 9595, 444, 201, 163, 155 |
i_Other |
i_Other | integer | 0% | 59 | 44980, 3341, 627, 456, 356 |
j_notstd |
j_notstd | integer | 0% | 42 | 1353, 228, 37, 17, 7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP, NP, NP, NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0, 0, 0, 0 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 4 | 0, 1, 2, 3 |
provname |
provname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL |
dname |
dname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL |
agegrpname |
agegrpname | string | 0% | 4 | Total, 15 - 24 Years, 25 - 34 Years, 35 - 49 Years |
rowtotal |
rowtotal | integer | 0% | 4 | 12976, 3045, 3022, 6909 |
a_pregnant |
a_pregnant | integer | 0% | 4 | 191, 92, 73, 26 |
b_delivery |
b_delivery | integer | 0% | 4 | 36, 12, 21, 3 |
c_within6week |
c_within6week | integer | 0% | 4 | 426, 156, 204, 66 |
d_other |
d_other | integer | 0% | 4 | 12323, 2785, 2724, 6814 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0 |
dist |
dist | integer | 0% | 1 | 0 |
gapa |
gapa | integer | 0% | 1 | 0 |
provname |
provname | string | 0% | 1 | NEPAL |
dname |
dname | string | 0% | 1 | NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL |
TotHhld |
TotHhld | integer | 0% | 1 | 6660841 |
absntHhld |
absntHhld | integer | 0% | 1 | 1555961 |
total |
total | integer | 0% | 1 | 2190592 |
male |
male | integer | 0% | 1 | 1799675 |
female |
female | integer | 0% | 1 | 390917 |
AbsntHhldnotstd |
AbsntHhldnotstd | integer | 0% | 1 | 8390 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP, NP, NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL, NEPAL, NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0, 0, 0 |
dist |
dist | integer | 0% | 1 | 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 1, 2 |
provname |
provname | string | 0% | 1 | NEPAL, NEPAL, NEPAL |
dname |
dname | string | 0% | 1 | NEPAL, NEPAL, NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL, NEPAL, NEPAL |
sexname |
sexname | string | 0% | 3 | Total, Male, Female |
rowtotal |
rowtotal | integer | 0% | 3 | 2190592, 1799675, 390917 |
a_00to04 |
a_00to04 | integer | 0% | 3 | 70958, 38935, 32023 |
b_05to09 |
b_05to09 | integer | 0% | 3 | 36074, 21167, 14907 |
c_10to14 |
c_10to14 | integer | 0% | 3 | 58832, 46971, 11861 |
d_15to19 |
d_15to19 | integer | 0% | 3 | 319596, 268221, 51375 |
e_20to24 |
e_20to24 | integer | 0% | 3 | 655716, 535082, 120634 |
f_25to29 |
f_25to29 | integer | 0% | 3 | 426925, 353684, 73241 |
g_30to34 |
g_30to34 | integer | 0% | 3 | 259178, 223610, 35568 |
h_35to39 |
h_35to39 | integer | 0% | 3 | 167325, 147518, 19807 |
i_40to44 |
i_40to44 | integer | 0% | 3 | 86593, 77294, 9299 |
j_45to49 |
j_45to49 | integer | 0% | 3 | 40073, 35424, 4649 |
k_50to54 |
k_50to54 | integer | 0% | 3 | 18846, 16043, 2803 |
l_55to59 |
l_55to59 | integer | 0% | 3 | 8932, 7107, 1825 |
m_60to64 |
m_60to64 | integer | 0% | 3 | 4969, 3449, 1520 |
n_65plus |
n_65plus | integer | 0% | 3 | 4690, 2999, 1691 |
o_notstd |
o_notstd | integer | 0% | 3 | 31885, 22171, 9714 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP, NP, NP, NP, NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0, 0, 0, 0, 0 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
dname |
dname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 27 | 2190592, 165864, 975312, 686103, 253918 |
a_india |
a_india | integer | 0% | 27 | 744855, 125766, 349581, 144860, 70209 |
b_saarc |
b_saarc | integer | 0% | 27 | 6476, 192, 3451, 1837, 780 |
c_asean |
c_asean | integer | 0% | 27 | 198545, 1991, 90543, 71870, 28968 |
d_midleast |
d_midleast | integer | 0% | 27 | 804614, 5776, 325258, 319752, 124071 |
e_othrasian |
e_othrasian | integer | 0% | 27 | 125310, 5648, 61177, 45525, 8894 |
f_eucntry |
f_eucntry | integer | 0% | 26 | 67005, 3842, 29790, 25616, 5910 |
g_othreuropn |
g_othreuropn | integer | 0% | 27 | 44992, 5722, 18586, 12844, 3290 |
h_northamericn |
h_northamericn | integer | 0% | 27 | 88488, 10632, 35823, 29297, 6949 |
i_southamericn |
i_southamericn | integer | 0% | 21 | 810, 46, 322, 320, 99 |
j_african |
j_african | integer | 0% | 25 | 5503, 139, 1566, 2255, 1302 |
k_pacific |
k_pacific | integer | 0% | 27 | 94533, 5634, 55782, 28669, 2370 |
l_other |
l_other | integer | 0% | 27 | 4209, 158, 1640, 1655, 532 |
m_notstd |
m_notstd | integer | 0% | 27 | 5252, 318, 1793, 1603, 544 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
admin_code |
admin_code | string | SEL | 0% | 1 | NP, NP, NP, NP, NP |
admin_name |
admin_name | string | SEL | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 0, 0, 0, 0, 0 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
dname |
dname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
gapaname |
gapaname | string | 0% | 1 | NEPAL, NEPAL, NEPAL, NEPAL, NEPAL |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 27 | 2190592, 165864, 975312, 686103, 253918 |
a_salary |
a_salary | integer | 0% | 25 | 1450538, 16318, 657366, 518469, 205119 |
b_trade |
b_trade | integer | 0% | 22 | 13126, 0, 5951, 4518, 1897 |
c_study |
c_study | integer | 0% | 23 | 209377, 11957, 140583, 52587, 3797 |
d_jobseek |
d_jobseek | integer | 0% | 25 | 242384, 3683, 111168, 82752, 34198 |
e_dependnt |
e_dependnt | integer | 0% | 26 | 227072, 125883, 46294, 18562, 4818 |
f_others |
f_others | integer | 0% | 27 | 23994, 7384, 6346, 4295, 1999 |
g_notstd |
g_notstd | integer | 0% | 27 | 24101, 639, 7604, 4920, 2090 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
a_Own |
a_Own | integer | SEL | 0% | 7 | 1067240, 1117188, 1084672, 532518, 1036311 |
b_Rented |
b_Rented | integer | SEL | 0% | 7 | 103586, 26633, 464512, 116721, 94336 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
c_Institutnl |
c_Institutnl | integer | 0% | 7 | 8258, 4753, 10431, 5216, 4458 |
d_Other |
d_Other | integer | 0% | 7 | 11671, 7809, 8302, 7177, 6240 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 7 | 382055, 128355, 343817, 289780, 468190 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 7 | 299268, 376846, 572132, 210489, 347610 |
c_RCC |
c_RCC | integer | 0% | 7 | 249893, 203656, 576941, 150825, 243390 |
d_WoodPillar |
d_WoodPillar | integer | 0% | 7 | 250357, 441378, 65572, 9398, 73405 |
e_Other |
e_Other | integer | 0% | 7 | 9182, 6148, 9455, 1140, 8750 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 7 | 345610, 113761, 316144, 270675, 433174 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 7 | 505454, 552229, 1165039, 375767, 608553 |
c_Wood |
c_Wood | integer | 0% | 7 | 60716, 41402, 24525, 5856, 18824 |
d_Bamboo |
d_Bamboo | integer | 0% | 7 | 237981, 436375, 16356, 3335, 51154 |
e_UnbakeBrick |
e_UnbakeBrick | integer | 0% | 7 | 2052, 2226, 2443, 1221, 15563 |
f_GalvSheet |
f_GalvSheet | integer | 0% | 7 | 34350, 2065, 37045, 2785, 1932 |
g_Prefab |
g_Prefab | integer | 0% | 7 | 206, 177, 1053, 193, 205 |
h_Other |
h_Other | integer | 0% | 7 | 4386, 8148, 5312, 1800, 11940 |
|
- | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_GalvSheet |
a_GalvSheet | integer | 0% | 7 | 830756, 222340, 606924, 349579, 459084 |
b_Cement |
b_Cement | integer | 0% | 7 | 264067, 407166, 902451, 225858, 518436 |
c_Thatch |
c_Thatch | integer | 0% | 7 | 66781, 82999, 9964, 7019, 49646 |
d_Tile |
d_Tile | integer | 0% | 7 | 18328, 432111, 32611, 2493, 55238 |
e_Stone |
e_Stone | integer | 0% | 7 | 6505, 4805, 12927, 72436, 53976 |
f_Wood |
f_Wood | integer | 0% | 7 | 2789, 4867, 2044, 988, 2520 |
g_Mud |
g_Mud | integer | 0% | 5 | 0, 0, 0, 3013, 1452 |
h_Other |
h_Other | integer | 0% | 7 | 1529, 2095, 996, 246, 993 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_Mud |
a_Mud | integer | 0% | 7 | 574791, 675219, 318001, 241578, 590739 |
b_Wooden |
b_Wooden | integer | 0% | 7 | 33192, 19206, 27297, 12717, 22839 |
c_BrickStone |
c_BrickStone | integer | 0% | 7 | 16147, 27984, 20218, 5334, 12296 |
d_Ceramic |
d_Ceramic | integer | 0% | 7 | 23644, 20132, 71734, 28028, 28360 |
e_Cemented |
e_Cemented | integer | 0% | 7 | 538298, 410430, 1122443, 370199, 482982 |
f_Other |
f_Other | integer | 0% | 7 | 4683, 3412, 8224, 3776, 4129 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dwellings_with_piped_water |
dwellings_with_piped_water | integer | SEL | 0% | 7 | 647331, 261809, 1066591, 562729, 655706 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_TapPiped1 |
a_TapPiped1 | integer | 0% | 7 | 407645, 177156, 688107, 347261, 431642 |
b_TapPiped2 |
b_TapPiped2 | integer | 0% | 7 | 239686, 84653, 378484, 215468, 224064 |
c_Tubewell |
c_Tubewell | integer | 0% | 7 | 476658, 830219, 75205, 10776, 373956 |
d_CoveredWell |
d_CoveredWell | integer | 0% | 7 | 9979, 8062, 35647, 7808, 29784 |
e_UncoverWell |
e_UncoverWell | integer | 0% | 7 | 19613, 25966, 42682, 10298, 26172 |
f_Spoutwater |
f_Spoutwater | integer | 0% | 7 | 26420, 13857, 62391, 45567, 29608 |
g_RiverStream |
g_RiverStream | integer | 0% | 7 | 2725, 729, 3778, 2475, 4433 |
h_JarBottle |
h_JarBottle | integer | 0% | 7 | 4816, 2252, 264204, 20234, 15128 |
i_Others |
i_Others | integer | 0% | 7 | 3213, 13489, 17419, 1745, 6558 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_firewood |
a_firewood | integer | 0% | 7 | 635672, 677732, 453987, 311925, 612698 |
b_LPGas |
b_LPGas | integer | 0% | 7 | 490297, 331992, 1094195, 341017, 481748 |
c_Electricity |
c_Electricity | integer | 0% | 7 | 6177, 9468, 8887, 1390, 4692 |
d_Cowdung |
d_Cowdung | integer | 0% | 7 | 40207, 126273, 185, 225, 23686 |
e_BioGas |
e_BioGas | integer | 0% | 7 | 15682, 8252, 9342, 6548, 17230 |
f_Kerosene |
f_Kerosene | integer | 0% | 7 | 468, 303, 755, 315, 574 |
g_Others |
g_Others | integer | 0% | 7 | 2252, 2363, 566, 212, 717 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
a_Electricity |
a_Electricity | integer | SEL | 0% | 7 | 1115686, 1132078, 1526035, 645780, 1069081 |
electricity_access_pct |
electricity_access_pct | float | SEL | 0% | 7 | 98.7231, 98.7207, 99.6591, 99.5135, 98.1742 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
b_Solar |
b_Solar | integer | 0% | 7 | 59864, 9511, 36537, 12633, 51425 |
c_Kerosene |
c_Kerosene | integer | 0% | 7 | 9765, 10645, 2203, 1505, 11368 |
d_BioGas |
d_BioGas | integer | 0% | 7 | 295, 613, 115, 105, 549 |
e_Others |
e_Others | integer | 0% | 7 | 5145, 3536, 3027, 1609, 8922 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_FlushToilet1 |
a_FlushToilet1 | integer | 0% | 7 | 26542, 31159, 512026, 18456, 45867 |
b_FlushToilet2 |
b_FlushToilet2 | integer | 0% | 7 | 726577, 414032, 777874, 501855, 668730 |
c_Ordinary |
c_Ordinary | integer | 0% | 7 | 394698, 561660, 253515, 132898, 357955 |
d_Public |
d_Public | integer | 0% | 7 | 5362, 10322, 5031, 2131, 4763 |
e_NoToilet |
e_NoToilet | integer | 0% | 7 | 37576, 139210, 19471, 6292, 64030 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
f_Computer |
f_Computer | integer | SEL | 0% | 7 | 140580, 90719, 474452, 107134, 127106 |
g_Internet |
g_Internet | integer | SEL | 0% | 7 | 453858, 248016, 864913, 317007, 411035 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
x_NoFacility |
x_NoFacility | integer | 0% | 7 | 44351, 51169, 48425, 20722, 35590 |
atleastOne |
atleastOne | integer | 0% | 7 | 1146404, 1105214, 1519492, 640910, 1105755 |
a_Radio |
a_Radio | integer | 0% | 7 | 443014, 256449, 538667, 242696, 385532 |
b_TV |
b_TV | integer | 0% | 7 | 649594, 504357, 971974, 394562, 536004 |
c_LandLinePhone |
c_LandLinePhone | integer | 0% | 7 | 36632, 18932, 158786, 34188, 33796 |
d_MobilePhone1 |
d_MobilePhone1 | integer | 0% | 7 | 864107, 864700, 1068668, 470559, 851402 |
e_MobilePhone2 |
e_MobilePhone2 | integer | 0% | 7 | 883723, 773084, 1254709, 514690, 861496 |
h_CarJeep |
h_CarJeep | integer | 0% | 7 | 25960, 16694, 99854, 24077, 28824 |
i_Motorcycle |
i_Motorcycle | integer | 0% | 7 | 294897, 394596, 560736, 160097, 291415 |
j_Bicycle |
j_Bicycle | integer | 0% | 7 | 485949, 779466, 242382, 89681, 526208 |
k_ElectricFan |
k_ElectricFan | integer | 0% | 7 | 665113, 911795, 654781, 294894, 684227 |
l_Refrigerator |
l_Refrigerator | integer | 0% | 7 | 306854, 125653, 570210, 209149, 277957 |
m_WashingMachine |
m_WashingMachine | integer | 0% | 7 | 29189, 15215, 170077, 30220, 31207 |
n_AirConditionr |
n_AirConditionr | integer | 0% | 7 | 9449, 6258, 22184, 3274, 13302 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
a_HouseOnly |
a_HouseOnly | integer | 0% | 7 | 18718, 30688, 47495, 22520, 29641 |
b_LandOnly |
b_LandOnly | integer | 0% | 7 | 149703, 122310, 146881, 71163, 106500 |
c_HouseAndLand |
c_HouseAndLand | integer | 0% | 7 | 169707, 138394, 196568, 93465, 131486 |
d_NoOwnership |
d_NoOwnership | integer | 0% | 7 | 841564, 846638, 1162877, 453440, 853395 |
e_notstd |
e_notstd | integer | 0% | 7 | 11063, 18353, 14096, 21044, 20323 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
rowtotal |
rowtotal | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
NoBusiness |
NoBusiness | integer | 0% | 7 | 1072141, 1033083, 1412085, 595903, 1041584 |
a_Cottage_m |
a_Cottage_m | integer | 0% | 7 | 12930, 16747, 15629, 6746, 10777 |
a_Cottage_f |
a_Cottage_f | integer | 0% | 7 | 15617, 10001, 15828, 7402, 9089 |
b_Trade_m |
b_Trade_m | integer | 0% | 7 | 22187, 37407, 37992, 11881, 24451 |
b_Trade_f |
b_Trade_f | integer | 0% | 7 | 35105, 17930, 40571, 18743, 22698 |
c_Transprt_m |
c_Transprt_m | integer | 0% | 7 | 6055, 5976, 5480, 2053, 4933 |
c_Transprt_f |
c_Transprt_f | integer | 0% | 7 | 1348, 1289, 1486, 670, 1361 |
d_Service_m |
d_Service_m | integer | 0% | 7 | 6972, 8138, 12365, 3554, 6705 |
d_Service_f |
d_Service_f | integer | 0% | 7 | 4687, 3442, 6102, 3057, 4450 |
e_Others_m |
e_Others_m | integer | 0% | 7 | 6056, 14118, 10335, 2591, 6250 |
e_Others_f |
e_Others_f | integer | 0% | 7 | 5522, 4872, 7734, 2674, 4902 |
notstd |
notstd | integer | 0% | 7 | 2135, 3380, 2310, 6358, 4145 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
TotHhld |
TotHhld | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
deadHhld |
deadHhld | integer | 0% | 7 | 37067, 33220, 42387, 19820, 35001 |
total |
total | integer | 0% | 7 | 38275, 34319, 43872, 20406, 36207 |
male |
male | integer | 0% | 7 | 22015, 19549, 25211, 11900, 21249 |
female |
female | integer | 0% | 7 | 16260, 14770, 18661, 8506, 14958 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 5 | NP-1, NP-1, NP-1, NP-1, NP-1 |
admin_name |
admin_name | string | SEL | 0% | 5 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 5 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 5 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
dname |
dname | string | 0% | 5 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
gapaname |
gapaname | string | 0% | 5 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 98 | 38275, 1213, 469, 371, 367 |
a_male |
a_male | integer | 0% | 99 | 22015, 706, 238, 202, 191 |
b_female |
b_female | integer | 0% | 95 | 16260, 507, 231, 169, 176 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 2 | NP-1, NP-1, NP-1, NP-1, NP-1 |
admin_name |
admin_name | string | SEL | 0% | 2 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 2 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 2 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
dname |
dname | string | 0% | 2 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
gapaname |
gapaname | string | 0% | 2 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 99 | 38275, 1213, 469, 371, 367 |
a_Transf |
a_Transf | integer | 0% | 90 | 4272, 187, 86, 51, 32 |
b_nonTransf |
b_nonTransf | integer | 0% | 95 | 21660, 348, 227, 157, 152 |
c_roadAccidnt |
c_roadAccidnt | integer | 0% | 60 | 715, 7, 3, 16, 19 |
d_othrAccidnt |
d_othrAccidnt | integer | 0% | 66 | 1275, 38, 40, 40, 35 |
e_pregnancy |
e_pregnancy | integer | 0% | 14 | 104, 0, 0, 0, 0 |
f_crime |
f_crime | integer | 0% | 32 | 192, 0, 2, 4, 3 |
g_sucide |
g_sucide | integer | 0% | 59 | 1179, 2, 8, 6, 57 |
h_naturlCalamaty |
h_naturlCalamaty | integer | 0% | 68 | 1215, 48, 23, 24, 18 |
i_Other |
i_Other | integer | 0% | 92 | 7524, 549, 73, 72, 50 |
j_notstd |
j_notstd | integer | 0% | 30 | 139, 34, 7, 1, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-1, NP-1, NP-1, NP-2 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 2 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 4 | 0, 1, 2, 3, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH |
dname |
dname | string | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH |
agegrpname |
agegrpname | string | 0% | 4 | Total, 15 - 24 Years, 25 - 34 Years, 35 - 49 Years, Total |
rowtotal |
rowtotal | integer | 0% | 28 | 2619, 529, 615, 1475, 2361 |
a_pregnant |
a_pregnant | integer | 0% | 19 | 30, 16, 12, 2, 40 |
b_delivery |
b_delivery | integer | 0% | 9 | 12, 2, 8, 2, 6 |
c_within6week |
c_within6week | integer | 0% | 22 | 62, 23, 26, 13, 100 |
d_other |
d_other | integer | 0% | 28 | 2515, 488, 569, 1458, 2215 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-2, NP-3, NP-4, NP-5 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 2, 3, 4, 5 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
dname |
dname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, MADHESH, BAGMATI, GANDAKI, LUMBINI |
TotHhld |
TotHhld | integer | 0% | 7 | 1190755, 1156383, 1567917, 661632, 1141345 |
absntHhld |
absntHhld | integer | 0% | 7 | 269892, 252015, 283228, 207910, 308073 |
total |
total | integer | 0% | 7 | 343034, 304286, 397930, 286593, 420906 |
male |
male | integer | 0% | 7 | 286631, 292427, 280120, 239788, 367670 |
female |
female | integer | 0% | 7 | 56403, 11859, 117810, 46805, 53236 |
AbsntHhldnotstd |
AbsntHhldnotstd | integer | 0% | 7 | 816, 817, 5270, 380, 669 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 7 | NP-1, NP-1, NP-1, NP-2, NP-2 |
admin_name |
admin_name | string | SEL | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH, MADHESH |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 2, 2 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 1, 2, 0, 1 |
provname |
provname | string | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH, MADHESH |
dname |
dname | string | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH, MADHESH |
gapaname |
gapaname | string | 0% | 7 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, MADHESH, MADHESH |
sexname |
sexname | string | 0% | 3 | Total, Male, Female, Total, Male |
rowtotal |
rowtotal | integer | 0% | 21 | 343034, 286631, 56403, 304286, 292427 |
a_00to04 |
a_00to04 | integer | 0% | 21 | 5624, 3138, 2486, 2631, 1625 |
b_05to09 |
b_05to09 | integer | 0% | 21 | 3493, 2057, 1436, 1721, 1095 |
c_10to14 |
c_10to14 | integer | 0% | 21 | 4221, 2937, 1284, 3384, 2756 |
d_15to19 |
d_15to19 | integer | 0% | 21 | 36999, 31551, 5448, 36319, 34559 |
e_20to24 |
e_20to24 | integer | 0% | 21 | 106296, 89293, 17003, 91042, 87751 |
f_25to29 |
f_25to29 | integer | 0% | 21 | 76304, 63989, 12315, 58944, 56900 |
g_30to34 |
g_30to34 | integer | 0% | 21 | 50224, 42772, 7452, 43796, 42690 |
h_35to39 |
h_35to39 | integer | 0% | 21 | 32411, 28071, 4340, 32149, 31536 |
i_40to44 |
i_40to44 | integer | 0% | 21 | 14768, 12980, 1788, 18548, 18296 |
j_45to49 |
j_45to49 | integer | 0% | 21 | 5578, 4820, 758, 8427, 8300 |
k_50to54 |
k_50to54 | integer | 0% | 21 | 2087, 1689, 398, 3193, 3133 |
l_55to59 |
l_55to59 | integer | 0% | 21 | 946, 673, 273, 1031, 999 |
m_60to64 |
m_60to64 | integer | 0% | 21 | 621, 338, 283, 375, 350 |
n_65plus |
n_65plus | integer | 0% | 20 | 677, 397, 280, 268, 233 |
o_notstd |
o_notstd | integer | 0% | 21 | 2785, 1926, 859, 2458, 2204 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 4 | NP-1, NP-1, NP-1, NP-1, NP-1 |
admin_name |
admin_name | string | SEL | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 4 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
dname |
dname | string | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
gapaname |
gapaname | string | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 100 | 343034, 13338, 143295, 126528, 47179 |
a_india |
a_india | integer | 0% | 98 | 46329, 7396, 21090, 9752, 4652 |
b_saarc |
b_saarc | integer | 0% | 66 | 1116, 36, 563, 341, 148 |
c_asean |
c_asean | integer | 0% | 91 | 51385, 499, 22916, 18953, 7887 |
d_midleast |
d_midleast | integer | 0% | 98 | 182537, 993, 72174, 74918, 29270 |
e_othrasian |
e_othrasian | integer | 0% | 94 | 19950, 685, 8906, 8068, 1727 |
f_eucntry |
f_eucntry | integer | 0% | 89 | 10122, 395, 4146, 4217, 1162 |
g_othreuropn |
g_othreuropn | integer | 0% | 93 | 10139, 1260, 4147, 2731, 800 |
h_northamericn |
h_northamericn | integer | 0% | 95 | 10371, 1532, 3450, 3761, 948 |
i_southamericn |
i_southamericn | integer | 0% | 38 | 115, 5, 44, 46, 18 |
j_african |
j_african | integer | 0% | 65 | 769, 16, 232, 333, 162 |
k_pacific |
k_pacific | integer | 0% | 89 | 9193, 477, 5252, 3029, 277 |
l_other |
l_other | integer | 0% | 62 | 536, 20, 198, 217, 76 |
m_notstd |
m_notstd | integer | 0% | 68 | 472, 24, 177, 162, 52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_code |
admin_code | string | SEL | 0% | 4 | NP-1, NP-1, NP-1, NP-1, NP-1 |
admin_name |
admin_name | string | SEL | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 4 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 0, 0, 0, 0, 0 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
dname |
dname | string | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
gapaname |
gapaname | string | 0% | 4 | PROVINCE - 1, PROVINCE - 1, PROVINCE - 1, PROVINCE - 1,... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 100 | 343034, 13338, 143295, 126528, 47179 |
a_salary |
a_salary | integer | 0% | 87 | 260782, 488, 107665, 104780, 40765 |
b_trade |
b_trade | integer | 0% | 70 | 1784, 0, 721, 673, 280 |
c_study |
c_study | integer | 0% | 75 | 23924, 2026, 15099, 6212, 516 |
d_jobseek |
d_jobseek | integer | 0% | 83 | 29824, 123, 12545, 11747, 4534 |
e_dependnt |
e_dependnt | integer | 0% | 98 | 21589, 10037, 5667, 1982, 552 |
f_others |
f_others | integer | 0% | 97 | 3099, 627, 908, 619, 296 |
g_notstd |
g_notstd | integer | 0% | 92 | 2032, 37, 690, 515, 236 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
a_Own |
a_Own | integer | SEL | 0% | 77 | 24732, 35677, 23586, 33643, 39933 |
b_Rented |
b_Rented | integer | SEL | 0% | 76 | 2541, 2796, 2341, 522, 1474 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
c_Institutnl |
c_Institutnl | integer | 0% | 72 | 118, 185, 133, 28, 84 |
d_Other |
d_Other | integer | 0% | 71 | 385, 460, 179, 93, 229 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 77 | 24684, 30614, 23757, 31238, 38336 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 77 | 1690, 1616, 1462, 1821, 1449 |
c_RCC |
c_RCC | integer | 0% | 76 | 416, 1096, 256, 642, 422 |
d_WoodPillar |
d_WoodPillar | integer | 0% | 77 | 937, 5528, 674, 494, 1413 |
e_Other |
e_Other | integer | 0% | 69 | 49, 264, 90, 91, 100 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 77 | 23344, 28114, 22868, 30833, 37758 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 77 | 2068, 2812, 1741, 2490, 1786 |
c_Wood |
c_Wood | integer | 0% | 76 | 1052, 1230, 563, 140, 465 |
d_Bamboo |
d_Bamboo | integer | 0% | 72 | 831, 5410, 295, 278, 1226 |
e_UnbakeBrick |
e_UnbakeBrick | integer | 0% | 68 | 12, 40, 16, 84, 10 |
f_GalvSheet |
f_GalvSheet | integer | 0% | 75 | 443, 1385, 722, 446, 451 |
g_Prefab |
g_Prefab | integer | 0% | 38 | 3, 1, 5, 3, 3 |
h_Other |
h_Other | integer | 0% | 71 | 23, 126, 29, 12, 21 |
|
- | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_GalvSheet |
a_GalvSheet | integer | 0% | 77 | 23100, 28347, 23002, 28252, 28472 |
b_Cement |
b_Cement | integer | 0% | 77 | 1016, 1653, 427, 1212, 1027 |
c_Thatch |
c_Thatch | integer | 0% | 77 | 3294, 8253, 1134, 2298, 10305 |
d_Tile |
d_Tile | integer | 0% | 73 | 100, 313, 71, 66, 1529 |
e_Stone |
e_Stone | integer | 0% | 75 | 42, 38, 931, 2355, 184 |
f_Wood |
f_Wood | integer | 0% | 68 | 119, 223, 541, 67, 73 |
g_Mud |
g_Mud | integer | 0% | 21 | 0, 0, 0, 0, 0 |
h_Other |
h_Other | integer | 0% | 62 | 105, 291, 133, 36, 130 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_Mud |
a_Mud | integer | 0% | 77 | 23162, 31500, 19741, 28554, 37258 |
b_Wooden |
b_Wooden | integer | 0% | 77 | 1098, 1879, 2972, 1049, 921 |
c_BrickStone |
c_BrickStone | integer | 0% | 74 | 256, 258, 216, 155, 425 |
d_Ceramic |
d_Ceramic | integer | 0% | 75 | 73, 198, 66, 97, 190 |
e_Cemented |
e_Cemented | integer | 0% | 77 | 3092, 5100, 3125, 4323, 2748 |
f_Other |
f_Other | integer | 0% | 77 | 95, 183, 119, 108, 178 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
dwellings_with_piped_water |
dwellings_with_piped_water | integer | SEL | 0% | 77 | 26801, 30809, 24893, 31355, 37067 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_TapPiped1 |
a_TapPiped1 | integer | 0% | 77 | 14138, 15073, 15233, 12212, 18625 |
b_TapPiped2 |
b_TapPiped2 | integer | 0% | 77 | 12663, 15736, 9660, 19143, 18442 |
c_Tubewell |
c_Tubewell | integer | 0% | 44 | 0, 0, 0, 0, 0 |
d_CoveredWell |
d_CoveredWell | integer | 0% | 74 | 37, 792, 105, 237, 506 |
e_UncoverWell |
e_UncoverWell | integer | 0% | 77 | 220, 906, 208, 604, 1471 |
f_Spoutwater |
f_Spoutwater | integer | 0% | 76 | 537, 6182, 927, 1692, 2324 |
g_RiverStream |
g_RiverStream | integer | 0% | 72 | 75, 329, 60, 333, 178 |
h_JarBottle |
h_JarBottle | integer | 0% | 61 | 24, 36, 10, 32, 113 |
i_Others |
i_Others | integer | 0% | 70 | 82, 64, 36, 33, 61 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_firewood |
a_firewood | integer | 0% | 77 | 24630, 32922, 21785, 31285, 38030 |
b_LPGas |
b_LPGas | integer | 0% | 77 | 3006, 5907, 3945, 2724, 3351 |
c_Electricity |
c_Electricity | integer | 0% | 67 | 32, 61, 400, 21, 43 |
d_Cowdung |
d_Cowdung | integer | 0% | 44 | 5, 3, 1, 3, 4 |
e_BioGas |
e_BioGas | integer | 0% | 71 | 51, 171, 56, 216, 241 |
f_Kerosene |
f_Kerosene | integer | 0% | 50 | 21, 41, 51, 23, 42 |
g_Others |
g_Others | integer | 0% | 55 | 31, 13, 1, 14, 9 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
a_Electricity |
a_Electricity | integer | SEL | 0% | 77 | 24059, 34055, 24922, 26023, 34876 |
electricity_access_pct |
electricity_access_pct | float | SEL | 0% | 77 | 97.9047, 97.8578, 98.6051, 98.6992, 97.7157 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
b_Solar |
b_Solar | integer | 0% | 76 | 3135, 4225, 951, 7817, 5891 |
c_Kerosene |
c_Kerosene | integer | 0% | 75 | 311, 356, 111, 167, 376 |
d_BioGas |
d_BioGas | integer | 0% | 42 | 9, 18, 7, 5, 22 |
e_Others |
e_Others | integer | 0% | 76 | 262, 464, 248, 274, 555 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_FlushToilet1 |
a_FlushToilet1 | integer | 0% | 75 | 265, 231, 536, 1426, 1291 |
b_FlushToilet2 |
b_FlushToilet2 | integer | 0% | 77 | 20166, 27874, 21897, 25548, 25715 |
c_Ordinary |
c_Ordinary | integer | 0% | 77 | 6781, 10298, 3190, 6649, 13556 |
d_Public |
d_Public | integer | 0% | 72 | 72, 141, 155, 212, 153 |
e_NoToilet |
e_NoToilet | integer | 0% | 76 | 492, 574, 461, 451, 1005 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
f_Computer |
f_Computer | integer | SEL | 0% | 77 | 1641, 2438, 1476, 1297, 1828 |
g_Internet |
g_Internet | integer | SEL | 0% | 77 | 5121, 12585, 5773, 4306, 6341 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
x_NoFacility |
x_NoFacility | integer | 0% | 77 | 1781, 2584, 1843, 2799, 3486 |
atleastOne |
atleastOne | integer | 0% | 77 | 25995, 36534, 24396, 31487, 38234 |
a_Radio |
a_Radio | integer | 0% | 77 | 15593, 20862, 14680, 16457, 16309 |
b_TV |
b_TV | integer | 0% | 76 | 8775, 14137, 8915, 9389, 10676 |
c_LandLinePhone |
c_LandLinePhone | integer | 0% | 76 | 992, 1280, 1148, 639, 707 |
d_MobilePhone1 |
d_MobilePhone1 | integer | 0% | 77 | 23697, 31383, 20983, 28316, 34469 |
e_MobilePhone2 |
e_MobilePhone2 | integer | 0% | 77 | 16728, 25009, 15273, 18638, 23461 |
h_CarJeep |
h_CarJeep | integer | 0% | 75 | 253, 350, 258, 219, 249 |
i_Motorcycle |
i_Motorcycle | integer | 0% | 77 | 1320, 3111, 1502, 1798, 2828 |
j_Bicycle |
j_Bicycle | integer | 0% | 77 | 256, 606, 248, 203, 552 |
k_ElectricFan |
k_ElectricFan | integer | 0% | 77 | 312, 3263, 163, 464, 495 |
l_Refrigerator |
l_Refrigerator | integer | 0% | 76 | 340, 2332, 1054, 550, 783 |
m_WashingMachine |
m_WashingMachine | integer | 0% | 73 | 129, 83, 230, 31, 119 |
n_AirConditionr |
n_AirConditionr | integer | 0% | 66 | 84, 31, 17, 16, 37 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
a_HouseOnly |
a_HouseOnly | integer | 0% | 77 | 240, 663, 257, 404, 382 |
b_LandOnly |
b_LandOnly | integer | 0% | 77 | 2411, 4493, 2533, 3680, 3984 |
c_HouseAndLand |
c_HouseAndLand | integer | 0% | 77 | 2277, 3944, 2596, 4325, 3219 |
d_NoOwnership |
d_NoOwnership | integer | 0% | 77 | 22369, 29628, 20611, 25506, 33669 |
e_notstd |
e_notstd | integer | 0% | 75 | 479, 390, 242, 371, 466 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
rowtotal |
rowtotal | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
NoBusiness |
NoBusiness | integer | 0% | 77 | 25302, 28585, 22767, 31687, 39288 |
a_Cottage_m |
a_Cottage_m | integer | 0% | 75 | 496, 2512, 725, 490, 285 |
a_Cottage_f |
a_Cottage_f | integer | 0% | 72 | 311, 2693, 601, 241, 187 |
b_Trade_m |
b_Trade_m | integer | 0% | 77 | 389, 1001, 363, 459, 479 |
b_Trade_f |
b_Trade_f | integer | 0% | 77 | 709, 1462, 559, 576, 778 |
c_Transprt_m |
c_Transprt_m | integer | 0% | 73 | 53, 136, 85, 68, 43 |
c_Transprt_f |
c_Transprt_f | integer | 0% | 61 | 41, 44, 40, 36, 37 |
d_Service_m |
d_Service_m | integer | 0% | 74 | 144, 525, 370, 188, 249 |
d_Service_f |
d_Service_f | integer | 0% | 71 | 81, 300, 171, 104, 171 |
e_Others_m |
e_Others_m | integer | 0% | 73 | 124, 822, 297, 243, 103 |
e_Others_f |
e_Others_f | integer | 0% | 72 | 67, 1009, 213, 132, 58 |
notstd |
notstd | integer | 0% | 75 | 59, 29, 48, 62, 42 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
TotHhld |
TotHhld | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
deadHhld |
deadHhld | integer | 0% | 77 | 837, 1187, 713, 873, 1113 |
total |
total | integer | 0% | 75 | 867, 1227, 736, 897, 1145 |
male |
male | integer | 0% | 75 | 456, 666, 420, 523, 636 |
female |
female | integer | 0% | 75 | 411, 561, 316, 374, 509 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 5 | NP-1-01, NP-1-01, NP-1-01, NP-1-01, NP-1-01 |
admin_name |
admin_name | string | SEL | 0% | 5 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 5 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 5 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
gapaname |
gapaname | string | 0% | 5 | Taplejung (TOTAL), Taplejung (TOTAL), Taplejung (TOTAL),... |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 60 | 867, 45, 13, 14, 13 |
a_male |
a_male | integer | 0% | 56 | 456, 25, 4, 7, 10 |
b_female |
b_female | integer | 0% | 48 | 411, 20, 9, 7, 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 2 | NP-1-01, NP-1-01, NP-1-01, NP-1-01, NP-1-01 |
admin_name |
admin_name | string | SEL | 0% | 2 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 2 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 2 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
gapaname |
gapaname | string | 0% | 2 | Taplejung (TOTAL), Taplejung (TOTAL), Taplejung (TOTAL),... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 58 | 867, 45, 13, 14, 13 |
a_Transf |
a_Transf | integer | 0% | 18 | 68, 6, 2, 2, 1 |
b_nonTransf |
b_nonTransf | integer | 0% | 49 | 452, 15, 7, 5, 3 |
c_roadAccidnt |
c_roadAccidnt | integer | 0% | 9 | 9, 0, 0, 0, 1 |
d_othrAccidnt |
d_othrAccidnt | integer | 0% | 12 | 53, 1, 2, 2, 2 |
e_pregnancy |
e_pregnancy | integer | 0% | 3 | 2, 0, 0, 0, 0 |
f_crime |
f_crime | integer | 0% | 8 | 6, 0, 1, 0, 1 |
g_sucide |
g_sucide | integer | 0% | 12 | 20, 0, 0, 0, 2 |
h_naturlCalamaty |
h_naturlCalamaty | integer | 0% | 10 | 16, 0, 0, 1, 1 |
i_Other |
i_Other | integer | 0% | 30 | 237, 22, 1, 4, 2 |
j_notstd |
j_notstd | integer | 0% | 5 | 4, 1, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 25 | NP-1-01, NP-1-01, NP-1-01, NP-1-01, NP-1-02 |
admin_name |
admin_name | string | SEL | 0% | 25 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, SANKHUWASABHA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 3 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 25 | 1, 1, 1, 1, 2 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 4 | 0, 1, 2, 3, 0 |
provname |
provname | string | 0% | 3 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 25 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, SANKHUWASABHA |
gapaname |
gapaname | string | 0% | 25 | Taplejung (TOTAL), Taplejung (TOTAL), Taplejung (TOTAL),... |
agegrpname |
agegrpname | string | 0% | 4 | Total, 15 - 24 Years, 25 - 34 Years, 35 - 49 Years, Total |
rowtotal |
rowtotal | integer | 0% | 79 | 88, 14, 21, 53, 75 |
a_pregnant |
a_pregnant | integer | 0% | 10 | 0, 0, 0, 0, 0 |
b_delivery |
b_delivery | integer | 0% | 3 | 0, 0, 0, 0, 1 |
c_within6week |
c_within6week | integer | 0% | 16 | 2, 1, 0, 1, 1 |
d_other |
d_other | integer | 0% | 79 | 86, 13, 21, 52, 73 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 77 | NP-1-01, NP-1-02, NP-1-03, NP-1-04, NP-1-05 |
admin_name |
admin_name | string | SEL | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 7 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 77 | 1, 2, 3, 4, 5 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
provname |
provname | string | 0% | 7 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 77 | TAPLEJUNG, SANKHUWASABHA, SOLUKHUMBU, OKHALDHUNGA, KHOTANG |
gapaname |
gapaname | string | 0% | 77 | Taplejung (TOTAL), Sankhuwasabha (TOTAL), Solukhumbu... |
TotHhld |
TotHhld | integer | 0% | 77 | 27776, 39118, 26239, 34286, 41720 |
absntHhld |
absntHhld | integer | 0% | 77 | 4847, 6369, 3740, 5453, 8855 |
total |
total | integer | 0% | 77 | 6237, 7904, 4948, 7449, 11207 |
male |
male | integer | 0% | 77 | 5374, 6858, 3593, 6258, 10090 |
female |
female | integer | 0% | 77 | 863, 1046, 1355, 1191, 1117 |
AbsntHhldnotstd |
AbsntHhldnotstd | integer | 0% | 60 | 27, 15, 13, 25, 31 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 34 | NP-1-01, NP-1-01, NP-1-01, NP-1-02, NP-1-02 |
admin_name |
admin_name | string | SEL | 0% | 34 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, SANKHUWASABHA, SANKHUWASABHA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 3 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 34 | 1, 1, 1, 2, 2 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 1, 2, 0, 1 |
provname |
provname | string | 0% | 3 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 34 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, SANKHUWASABHA, SANKHUWASABHA |
gapaname |
gapaname | string | 0% | 34 | Taplejung (TOTAL), Taplejung (TOTAL), Taplejung (TOTAL),... |
sexname |
sexname | string | 0% | 3 | Total, Male, Female, Total, Male |
rowtotal |
rowtotal | integer | 0% | 100 | 6237, 5374, 863, 7904, 6858 |
a_00to04 |
a_00to04 | integer | 0% | 89 | 107, 62, 45, 106, 64 |
b_05to09 |
b_05to09 | integer | 0% | 83 | 100, 63, 37, 105, 63 |
c_10to14 |
c_10to14 | integer | 0% | 89 | 134, 102, 32, 118, 71 |
d_15to19 |
d_15to19 | integer | 0% | 99 | 870, 784, 86, 1033, 906 |
e_20to24 |
e_20to24 | integer | 0% | 100 | 2263, 1999, 264, 2579, 2265 |
f_25to29 |
f_25to29 | integer | 0% | 100 | 1328, 1126, 202, 1744, 1528 |
g_30to34 |
g_30to34 | integer | 0% | 99 | 732, 633, 99, 1106, 985 |
h_35to39 |
h_35to39 | integer | 0% | 99 | 382, 343, 39, 631, 569 |
i_40to44 |
i_40to44 | integer | 0% | 95 | 145, 131, 14, 236, 212 |
j_45to49 |
j_45to49 | integer | 0% | 83 | 60, 52, 8, 81, 70 |
k_50to54 |
k_50to54 | integer | 0% | 71 | 24, 17, 7, 30, 23 |
l_55to59 |
l_55to59 | integer | 0% | 61 | 8, 6, 2, 12, 8 |
m_60to64 |
m_60to64 | integer | 0% | 45 | 12, 5, 7, 18, 10 |
n_65plus |
n_65plus | integer | 0% | 50 | 14, 5, 9, 21, 15 |
o_notstd |
o_notstd | integer | 0% | 89 | 58, 46, 12, 84, 69 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 4 | NP-1-01, NP-1-01, NP-1-01, NP-1-01, NP-1-01 |
admin_name |
admin_name | string | SEL | 0% | 4 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 4 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 4 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
gapaname |
gapaname | string | 0% | 4 | Taplejung (TOTAL), Taplejung (TOTAL), Taplejung (TOTAL),... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 84 | 6237, 341, 3133, 2060, 527 |
a_india |
a_india | integer | 0% | 69 | 814, 223, 410, 108, 33 |
b_saarc |
b_saarc | integer | 0% | 19 | 24, 2, 15, 6, 1 |
c_asean |
c_asean | integer | 0% | 57 | 1417, 22, 804, 432, 139 |
d_midleast |
d_midleast | integer | 0% | 67 | 2709, 20, 1367, 1005, 255 |
e_othrasian |
e_othrasian | integer | 0% | 53 | 514, 16, 222, 237, 28 |
f_eucntry |
f_eucntry | integer | 0% | 52 | 238, 6, 102, 108, 19 |
g_othreuropn |
g_othreuropn | integer | 0% | 51 | 270, 32, 119, 67, 23 |
h_northamericn |
h_northamericn | integer | 0% | 51 | 125, 14, 38, 58, 10 |
i_southamericn |
i_southamericn | integer | 0% | 7 | 5, 0, 1, 3, 1 |
j_african |
j_african | integer | 0% | 16 | 19, 0, 7, 4, 6 |
k_pacific |
k_pacific | integer | 0% | 34 | 58, 4, 28, 21, 4 |
l_other |
l_other | integer | 0% | 15 | 24, 0, 9, 8, 6 |
m_notstd |
m_notstd | integer | 0% | 15 | 20, 2, 11, 3, 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
admin_code |
admin_code | string | SEL | 0% | 4 | NP-1-01, NP-1-01, NP-1-01, NP-1-01, NP-1-01 |
admin_name |
admin_name | string | SEL | 0% | 4 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 4 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 1 | 0, 0, 0, 0, 0 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 4 | TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG, TAPLEJUNG |
gapaname |
gapaname | string | 0% | 4 | Taplejung (TOTAL), Taplejung (TOTAL), Taplejung (TOTAL),... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 84 | 6237, 341, 3133, 2060, 527 |
a_salary |
a_salary | integer | 0% | 69 | 4789, 7, 2498, 1750, 463 |
b_trade |
b_trade | integer | 0% | 24 | 45, 0, 28, 12, 3 |
c_study |
c_study | integer | 0% | 46 | 397, 126, 201, 64, 6 |
d_jobseek |
d_jobseek | integer | 0% | 52 | 467, 2, 226, 180, 44 |
e_dependnt |
e_dependnt | integer | 0% | 56 | 409, 194, 124, 26, 6 |
f_others |
f_others | integer | 0% | 31 | 67, 11, 32, 5, 3 |
g_notstd |
g_notstd | integer | 0% | 28 | 63, 1, 24, 23, 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
a_Own |
a_Own | integer | SEL | 0% | 100 | 2658, 1777, 2573, 2022, 2625 |
b_Rented |
b_Rented | integer | SEL | 0% | 91 | 144, 44, 61, 167, 177 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
c_Institutnl |
c_Institutnl | integer | 0% | 51 | 24, 7, 2, 8, 6 |
d_Other |
d_Other | integer | 0% | 66 | 6, 17, 26, 52, 46 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 100 | 2564, 1785, 2489, 2122, 2736 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 85 | 52, 32, 95, 29, 17 |
c_RCC |
c_RCC | integer | 0% | 72 | 20, 6, 2, 5, 4 |
d_WoodPillar |
d_WoodPillar | integer | 0% | 86 | 194, 22, 72, 90, 91 |
e_Other |
e_Other | integer | 0% | 48 | 2, 0, 4, 3, 6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_MudBondBrick |
a_MudBondBrick | integer | 0% | 98 | 2506, 1702, 2380, 1993, 2669 |
b_CmntBondBrick |
b_CmntBondBrick | integer | 0% | 92 | 76, 35, 91, 39, 24 |
c_Wood |
c_Wood | integer | 0% | 81 | 174, 36, 83, 63, 43 |
d_Bamboo |
d_Bamboo | integer | 0% | 91 | 40, 64, 68, 118, 107 |
e_UnbakeBrick |
e_UnbakeBrick | integer | 0% | 33 | 2, 0, 2, 1, 0 |
f_GalvSheet |
f_GalvSheet | integer | 0% | 86 | 32, 8, 32, 33, 10 |
g_Prefab |
g_Prefab | integer | 0% | 7 | 0, 0, 2, 1, 0 |
h_Other |
h_Other | integer | 0% | 36 | 2, 0, 4, 1, 1 |
|
- | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_GalvSheet |
a_GalvSheet | integer | 0% | 100 | 2507, 1564, 2309, 1892, 2181 |
b_Cement |
b_Cement | integer | 0% | 83 | 51, 13, 15, 14, 19 |
c_Thatch |
c_Thatch | integer | 0% | 88 | 154, 242, 323, 312, 630 |
d_Tile |
d_Tile | integer | 0% | 46 | 3, 2, 6, 7, 18 |
e_Stone |
e_Stone | integer | 0% | 43 | 1, 1, 3, 1, 0 |
f_Wood |
f_Wood | integer | 0% | 40 | 79, 16, 1, 6, 3 |
g_Mud |
g_Mud | integer | 0% | 1 | 0, 0, 0, 0, 0 |
h_Other |
h_Other | integer | 0% | 33 | 37, 7, 5, 17, 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_Mud |
a_Mud | integer | 0% | 98 | 2409, 1594, 2464, 2140, 2688 |
b_Wooden |
b_Wooden | integer | 0% | 89 | 280, 165, 61, 20, 40 |
c_BrickStone |
c_BrickStone | integer | 0% | 57 | 12, 16, 18, 19, 40 |
d_Ceramic |
d_Ceramic | integer | 0% | 49 | 6, 3, 4, 3, 2 |
e_Cemented |
e_Cemented | integer | 0% | 97 | 101, 65, 111, 66, 76 |
f_Other |
f_Other | integer | 0% | 46 | 24, 2, 4, 1, 8 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
dwellings_with_piped_water |
dwellings_with_piped_water | integer | SEL | 0% | 99 | 2757, 1835, 2641, 2201, 2640 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_TapPiped1 |
a_TapPiped1 | integer | 0% | 98 | 692, 1043, 2250, 1652, 1011 |
b_TapPiped2 |
b_TapPiped2 | integer | 0% | 98 | 2065, 792, 391, 549, 1629 |
c_Tubewell |
c_Tubewell | integer | 0% | 24 | 0, 0, 0, 0, 0 |
d_CoveredWell |
d_CoveredWell | integer | 0% | 55 | 2, 0, 0, 8, 8 |
e_UncoverWell |
e_UncoverWell | integer | 0% | 81 | 19, 2, 8, 21, 54 |
f_Spoutwater |
f_Spoutwater | integer | 0% | 88 | 43, 5, 6, 12, 116 |
g_RiverStream |
g_RiverStream | integer | 0% | 43 | 0, 0, 0, 3, 33 |
h_JarBottle |
h_JarBottle | integer | 0% | 23 | 11, 0, 0, 0, 0 |
i_Others |
i_Others | integer | 0% | 33 | 0, 3, 7, 4, 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_firewood |
a_firewood | integer | 0% | 97 | 2694, 1800, 2541, 2214, 2741 |
b_LPGas |
b_LPGas | integer | 0% | 92 | 124, 44, 113, 29, 89 |
c_Electricity |
c_Electricity | integer | 0% | 35 | 5, 0, 0, 2, 1 |
d_Cowdung |
d_Cowdung | integer | 0% | 17 | 2, 0, 0, 0, 1 |
e_BioGas |
e_BioGas | integer | 0% | 52 | 4, 0, 3, 3, 8 |
f_Kerosene |
f_Kerosene | integer | 0% | 16 | 3, 1, 1, 1, 4 |
g_Others |
g_Others | integer | 0% | 19 | 0, 0, 4, 0, 10 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
a_Electricity |
a_Electricity | integer | SEL | 0% | 99 | 2485, 1684, 2039, 1783, 2613 |
electricity_access_pct |
electricity_access_pct | float | SEL | 0% | 99 | 97.2105, 98.8076, 95.3043, 95.6425, 98.2481 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
b_Solar |
b_Solar | integer | 0% | 95 | 268, 139, 498, 368, 191 |
c_Kerosene |
c_Kerosene | integer | 0% | 65 | 37, 10, 78, 39, 29 |
d_BioGas |
d_BioGas | integer | 0% | 7 | 1, 0, 1, 0, 2 |
e_Others |
e_Others | integer | 0% | 56 | 41, 12, 46, 59, 19 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_FlushToilet1 |
a_FlushToilet1 | integer | 0% | 86 | 18, 22, 12, 38, 30 |
b_FlushToilet2 |
b_FlushToilet2 | integer | 0% | 100 | 2002, 1408, 1643, 1856, 2451 |
c_Ordinary |
c_Ordinary | integer | 0% | 99 | 694, 356, 950, 306, 328 |
d_Public |
d_Public | integer | 0% | 43 | 4, 4, 5, 10, 2 |
e_NoToilet |
e_NoToilet | integer | 0% | 79 | 114, 55, 52, 39, 43 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
f_Computer |
f_Computer | integer | SEL | 0% | 93 | 51, 34, 79, 63, 100 |
g_Internet |
g_Internet | integer | SEL | 0% | 98 | 188, 120, 432, 120, 525 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
x_NoFacility |
x_NoFacility | integer | 0% | 86 | 358, 179, 261, 198, 170 |
atleastOne |
atleastOne | integer | 0% | 99 | 2474, 1666, 2401, 2051, 2684 |
a_Radio |
a_Radio | integer | 0% | 98 | 1253, 853, 1449, 1079, 2143 |
b_TV |
b_TV | integer | 0% | 100 | 678, 353, 319, 527, 586 |
c_LandLinePhone |
c_LandLinePhone | integer | 0% | 77 | 26, 16, 20, 25, 10 |
d_MobilePhone1 |
d_MobilePhone1 | integer | 0% | 100 | 2192, 1517, 2224, 1902, 2486 |
e_MobilePhone2 |
e_MobilePhone2 | integer | 0% | 99 | 1321, 924, 1495, 1178, 1536 |
h_CarJeep |
h_CarJeep | integer | 0% | 71 | 8, 5, 5, 5, 4 |
i_Motorcycle |
i_Motorcycle | integer | 0% | 94 | 51, 39, 44, 66, 80 |
j_Bicycle |
j_Bicycle | integer | 0% | 71 | 13, 6, 14, 2, 5 |
k_ElectricFan |
k_ElectricFan | integer | 0% | 79 | 8, 0, 53, 3, 30 |
l_Refrigerator |
l_Refrigerator | integer | 0% | 76 | 5, 3, 42, 4, 16 |
m_WashingMachine |
m_WashingMachine | integer | 0% | 42 | 0, 1, 3, 0, 0 |
n_AirConditionr |
n_AirConditionr | integer | 0% | 31 | 2, 32, 1, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
a_HouseOnly |
a_HouseOnly | integer | 0% | 66 | 10, 4, 7, 12, 16 |
b_LandOnly |
b_LandOnly | integer | 0% | 95 | 159, 173, 120, 131, 249 |
c_HouseAndLand |
c_HouseAndLand | integer | 0% | 94 | 83, 114, 108, 145, 310 |
d_NoOwnership |
d_NoOwnership | integer | 0% | 99 | 2547, 1496, 2393, 1928, 2245 |
e_notstd |
e_notstd | integer | 0% | 74 | 33, 58, 34, 33, 34 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
rowtotal |
rowtotal | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
NoBusiness |
NoBusiness | integer | 0% | 100 | 2539, 1733, 2470, 2158, 2532 |
a_Cottage_m |
a_Cottage_m | integer | 0% | 72 | 33, 9, 25, 11, 150 |
a_Cottage_f |
a_Cottage_f | integer | 0% | 74 | 140, 12, 9, 12, 27 |
b_Trade_m |
b_Trade_m | integer | 0% | 68 | 19, 34, 19, 13, 36 |
b_Trade_f |
b_Trade_f | integer | 0% | 83 | 66, 28, 31, 25, 85 |
c_Transprt_m |
c_Transprt_m | integer | 0% | 44 | 2, 13, 1, 3, 3 |
c_Transprt_f |
c_Transprt_f | integer | 0% | 24 | 4, 2, 4, 9, 5 |
d_Service_m |
d_Service_m | integer | 0% | 66 | 8, 8, 2, 4, 8 |
d_Service_f |
d_Service_f | integer | 0% | 44 | 8, 2, 0, 3, 1 |
e_Others_m |
e_Others_m | integer | 0% | 52 | 2, 2, 86, 2, 3 |
e_Others_f |
e_Others_f | integer | 0% | 42 | 5, 2, 13, 1, 2 |
notstd |
notstd | integer | 0% | 28 | 6, 0, 2, 8, 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
TotHhld |
TotHhld | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
deadHhld |
deadHhld | integer | 0% | 86 | 71, 58, 65, 90, 87 |
total |
total | integer | 0% | 83 | 75, 59, 66, 95, 89 |
male |
male | integer | 0% | 76 | 39, 35, 43, 47, 48 |
female |
female | integer | 0% | 70 | 36, 24, 23, 48, 41 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 5 | NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01 |
admin_name |
admin_name | string | SEL | 0% | 5 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 5 | 1, 1, 1, 1, 1 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 1 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 5 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 20 | 75, 2, 1, 3, 3 |
a_male |
a_male | integer | 0% | 17 | 39, 1, 0, 3, 2 |
b_female |
b_female | integer | 0% | 16 | 36, 1, 1, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 2 | NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01 |
admin_name |
admin_name | string | SEL | 0% | 2 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 2 | 1, 1, 1, 1, 1 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 20 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 1 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 2 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 20 | All Ages, < 1, 01 - 04, 05 - 09, 10 - 14 |
rowtotal |
rowtotal | integer | 0% | 17 | 75, 2, 1, 3, 3 |
a_Transf |
a_Transf | integer | 0% | 4 | 3, 1, 0, 1, 0 |
b_nonTransf |
b_nonTransf | integer | 0% | 11 | 38, 1, 1, 0, 0 |
c_roadAccidnt |
c_roadAccidnt | integer | 0% | 2 | 0, 0, 0, 0, 0 |
d_othrAccidnt |
d_othrAccidnt | integer | 0% | 7 | 5, 0, 0, 0, 1 |
e_pregnancy |
e_pregnancy | integer | 0% | 1 | 0, 0, 0, 0, 0 |
f_crime |
f_crime | integer | 0% | 2 | 0, 0, 0, 0, 0 |
g_sucide |
g_sucide | integer | 0% | 3 | 1, 0, 0, 0, 1 |
h_naturlCalamaty |
h_naturlCalamaty | integer | 0% | 4 | 2, 0, 0, 1, 0 |
i_Other |
i_Other | integer | 0% | 15 | 26, 0, 0, 1, 1 |
j_notstd |
j_notstd | integer | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 25 | NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-02 |
admin_name |
admin_name | string | SEL | 0% | 25 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 3 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 10 | 1, 1, 1, 1, 2 |
agegrp |
agegrp | integer | 0% | 4 | 0, 1, 2, 3, 0 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 3 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 25 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
agegrpname |
agegrpname | string | 0% | 4 | Total, 15 - 24 Years, 25 - 34 Years, 35 - 49 Years, Total |
rowtotal |
rowtotal | integer | 0% | 16 | 7, 1, 1, 5, 3 |
a_pregnant |
a_pregnant | integer | 0% | 1 | 0, 0, 0, 0, 0 |
b_delivery |
b_delivery | integer | 0% | 2 | 0, 0, 0, 0, 0 |
c_within6week |
c_within6week | integer | 0% | 2 | 0, 0, 0, 0, 0 |
d_other |
d_other | integer | 0% | 16 | 7, 1, 1, 5, 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 100 | NP-1-01-01, NP-1-01-02, NP-1-01-03, NP-1-01-04, NP-1-01-05 |
admin_name |
admin_name | string | SEL | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 11 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 15 | 1, 2, 3, 4, 5 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 11 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 100 | Phaktanlung Gaunpalika, Mikwakhola Gaunpalika, Meringden... |
TotHhld |
TotHhld | integer | 0% | 96 | 2832, 1845, 2662, 2249, 2854 |
absntHhld |
absntHhld | integer | 0% | 99 | 355, 372, 444, 336, 488 |
total |
total | integer | 0% | 95 | 477, 475, 585, 426, 620 |
male |
male | integer | 0% | 97 | 383, 398, 501, 376, 560 |
female |
female | integer | 0% | 83 | 94, 77, 84, 50, 60 |
AbsntHhldnotstd |
AbsntHhldnotstd | integer | 0% | 14 | 2, 1, 4, 1, 5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 34 | NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-02, NP-1-01-02 |
admin_name |
admin_name | string | SEL | 0% | 34 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 4 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 10 | 1, 1, 1, 2, 2 |
sex |
sex | integer | 0% | 3 | 0, 1, 2, 0, 1 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 4 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 34 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
sexname |
sexname | string | 0% | 3 | Total, Male, Female, Total, Male |
rowtotal |
rowtotal | integer | 0% | 96 | 477, 383, 94, 475, 398 |
a_00to04 |
a_00to04 | integer | 0% | 25 | 15, 11, 4, 6, 1 |
b_05to09 |
b_05to09 | integer | 0% | 23 | 23, 14, 9, 7, 5 |
c_10to14 |
c_10to14 | integer | 0% | 25 | 21, 16, 5, 16, 12 |
d_15to19 |
d_15to19 | integer | 0% | 68 | 54, 47, 7, 69, 61 |
e_20to24 |
e_20to24 | integer | 0% | 88 | 179, 149, 30, 172, 149 |
f_25to29 |
f_25to29 | integer | 0% | 78 | 113, 88, 25, 93, 79 |
g_30to34 |
g_30to34 | integer | 0% | 65 | 38, 30, 8, 57, 50 |
h_35to39 |
h_35to39 | integer | 0% | 56 | 24, 19, 5, 29, 26 |
i_40to44 |
i_40to44 | integer | 0% | 34 | 3, 3, 0, 5, 3 |
j_45to49 |
j_45to49 | integer | 0% | 20 | 4, 4, 0, 4, 1 |
k_50to54 |
k_50to54 | integer | 0% | 11 | 0, 0, 0, 1, 1 |
l_55to59 |
l_55to59 | integer | 0% | 7 | 0, 0, 0, 0, 0 |
m_60to64 |
m_60to64 | integer | 0% | 7 | 0, 0, 0, 0, 0 |
n_65plus |
n_65plus | integer | 0% | 9 | 0, 0, 0, 3, 1 |
o_notstd |
o_notstd | integer | 0% | 21 | 3, 2, 1, 13, 9 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 4 | NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01 |
admin_name |
admin_name | string | SEL | 0% | 4 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 4 | 1, 1, 1, 1, 1 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 1 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 4 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 52 | 477, 59, 233, 151, 27 |
a_india |
a_india | integer | 0% | 36 | 83, 45, 31, 3, 2 |
b_saarc |
b_saarc | integer | 0% | 4 | 1, 0, 1, 0, 0 |
c_asean |
c_asean | integer | 0% | 32 | 132, 2, 75, 50, 5 |
d_midleast |
d_midleast | integer | 0% | 36 | 157, 2, 81, 55, 15 |
e_othrasian |
e_othrasian | integer | 0% | 23 | 25, 1, 11, 11, 2 |
f_eucntry |
f_eucntry | integer | 0% | 18 | 27, 1, 12, 13, 1 |
g_othreuropn |
g_othreuropn | integer | 0% | 19 | 36, 6, 18, 10, 1 |
h_northamericn |
h_northamericn | integer | 0% | 13 | 9, 2, 2, 5, 0 |
i_southamericn |
i_southamericn | integer | 0% | 2 | 0, 0, 0, 0, 0 |
j_african |
j_african | integer | 0% | 3 | 0, 0, 0, 0, 0 |
k_pacific |
k_pacific | integer | 0% | 6 | 5, 0, 1, 4, 0 |
l_other |
l_other | integer | 0% | 6 | 2, 0, 1, 0, 1 |
m_notstd |
m_notstd | integer | 0% | 7 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_code |
admin_code | string | SEL | 0% | 4 | NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01, NP-1-01-01 |
admin_name |
admin_name | string | SEL | 0% | 4 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
prov |
prov | integer | 0% | 1 | 1, 1, 1, 1, 1 |
dist |
dist | integer | 0% | 1 | 1, 1, 1, 1, 1 |
gapa |
gapa | integer | 0% | 4 | 1, 1, 1, 1, 1 |
sex |
sex | integer | 0% | 3 | 0, 0, 0, 0, 0 |
agegrp |
agegrp | integer | 0% | 9 | 0, 1, 2, 3, 4 |
provname |
provname | string | 0% | 1 | Province-1, Province-1, Province-1, Province-1, Province-1 |
dname |
dname | string | 0% | 1 | Taplejung, Taplejung, Taplejung, Taplejung, Taplejung |
gapaname |
gapaname | string | 0% | 4 | Phaktanlung Gaunpalika, Phaktanlung Gaunpalika,... |
sexname |
sexname | string | 0% | 3 | Total, Total, Total, Total, Total |
agegrpname |
agegrpname | string | 0% | 9 | All Ages, 00 - 14, 15 - 24, 25 - 34, 35 - 44 |
rowtotal |
rowtotal | integer | 0% | 52 | 477, 59, 233, 151, 27 |
a_salary |
a_salary | integer | 0% | 44 | 331, 0, 185, 119, 23 |
b_trade |
b_trade | integer | 0% | 10 | 1, 0, 1, 0, 0 |
c_study |
c_study | integer | 0% | 25 | 54, 35, 14, 5, 0 |
d_jobseek |
d_jobseek | integer | 0% | 27 | 46, 1, 17, 25, 3 |
e_dependnt |
e_dependnt | integer | 0% | 23 | 29, 21, 5, 0, 0 |
f_others |
f_others | integer | 0% | 12 | 14, 1, 11, 1, 1 |
g_notstd |
g_notstd | integer | 0% | 9 | 2, 1, 0, 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NP, NP, NP, NP, NP |
population_count |
Population count | float | SEL | 2% | 65 | 10123658.0, 10318396.0, 10521116.0, 10729818.0, 10946392.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 38.652, 38.966, 39.333, 39.608, 40.229 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 50.2125233749587, 51.5544820747585, 54.565608932967,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 20.5699996948242, 32.9799995422363, 48.6100006103516,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 327.6, 323.6, 318.6, 313.2, 306.9 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 94% | 4 | 41.8, 30.9, 25.2, 20.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NP, NP, NP, NP, NP |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 38.652, 38.966, 39.333, 39.608, 40.229 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 64 | 97.8, 97.2, 96.5, 95.6, 94.6 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 327.6, 323.6, 318.6, 313.2, 306.9 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 1186.0, 1143.0, 1088.0, 1038.0, 973.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.069, 6.093, 6.082, 6.056, 6.043 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 44.806, 44.817, 44.639, 44.387, 44.218 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 24.717, 24.473, 24.169, 23.922, 23.394 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 58% | 21 | 0.013, 0.021, 0.019, 0.019, 0.034 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 39% | 26 | 0.115763798356056, 0.135299995541573, 0.137700006365776,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 32 | 8.0, 16.0, 18.0, 23.0, 27.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.13292074, 3.81229901, 3.93863344, 3.8560729, 4.04629898 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
country_name |
country_name | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 429974.0, 690225.0, 717900.0, 680729.0, 581889.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 8 | 2.2, 3.1, 2.9, 2.6, 2.1 |
net_migration |
net_migration | float | 0% | 66 | -13223.0, -10601.0, -9249.0, -8303.0, -6087.0 |
remittances_received_usd |
remittances_received_usd | float | 52% | 32 | 54825103.76, 50118518.83, 56822666.9370024,... |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 52% | 32 | 1.4979366016325, 1.23238960951363, 1.29110017723861,... |
remittances_paid_usd |
remittances_paid_usd | float | 52% | 32 | 3005676.3673222, 8713303.28199883, 9062518.9697134,... |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | aimo1244, angi1238, athp1241, awad1243, bagh1251 |
name |
Name | string | CCL | 0% | 100 | Aimol, Angika, Athpariya, Awadhi, Bagheli |
iso639_3 |
Iso639 3 | string | CCL | 2% | 98 | aim, anp, aph, awa, bfy |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 1% | 5 | sino1245, indo1319, sino1245, indo1319, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 1% | 64 | cent2411, mait1254, athp1240, awad1245, awad1245 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 12 | 2, 0, 0, 15, 6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 100 | 24.6437, 26.0047, 26.8794, 27.5907, 24.6837 |
longitude |
longitude | float | 0% | 99 | 94.3556, 85.534, 87.3296, 82.4663, 87.4994 |
country_codes |
Country codes | string | 0% | 9 | ['IN', 'NP'], ['IN', 'NP'], ['NP'], ['IN', 'NP'], ['IN', 'NP'] |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
gns_language_code |
gns_language_code | string | CCL | 0% | 7 | nep, eng, zho, bod, hin |
gns_language_name |
gns_language_name | string | CCL | 0% | 7 | Nepali, English, Chinese, Tibetan, Hindi |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 6 | 92488, 350, 21, 5, 3 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 99.5897, 0.3769, 0.0226, 0.0054, 0.0032 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 7, 0, 6, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Deva, , Hans, , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Devanagari (Nagari), , Han (Simplified variant), , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 1, 0, 2, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NPL |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Nepal |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 7 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 3 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.998 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 13 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 101594 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 92508 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 101592 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3636 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2915 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 77754 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 71437 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 3378 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 2555 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 14860 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 13770 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 965 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 935 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 517 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 441 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 405 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 392 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 79 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 63 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 84 | 14829251, 14829253, 14829264, 14829319, 14829259 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 84 | Bāgmatī, Gaṇḍakī, Karṇālī, Koshī, Lumbinī |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 7 | NP-P3, NP-P4, NP-P6, NP-P1, NP-P5 |
parent_code |
parent_code | string | 0% | 7 | NP-P3, NP-P4, NP-P6, NP-P1, NP-P5 |
gns_prominence_band |
gns_prominence_band | integer | 0% | 3 | 9, 9, 9, 9, 9 |
latitude |
latitude | float | 0% | 84 | 27.733333, 28.416667, 29.2, 27.233333, 28.083333 |
longitude |
longitude | float | 0% | 84 | 85.45, 84.033333, 82.3, 87.25, 82.766667 |
gns_mgrs |
gns_mgrs | string | 0% | 84 | 45RUL4721668625, 45RTM0936846943, 44RPT2638130844,... |
name_variant_count |
name_variant_count | integer | 0% | 7 | 4, 2, 2, 3, 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | NP |
region_name |
Region name | string | SEL | 0% | 1 | Nepal |
F_TL |
Female population | integer | SEL | 0% | 1 | 15776443 |
M_TL |
Male population | integer | SEL | 0% | 1 | 15123000 |
T_TL |
Total population | integer | SEL | 0% | 1 | 30899443 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 1271243 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 1312748 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 1372162 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 1430764 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 1524822 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1560710 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1392470 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 1165809 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 993165 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 885874 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 752256 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 630435 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 509796 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 393093 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 276466 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 169111 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 135519 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1342697 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1384137 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 1448908 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 1506793 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1549376 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1558333 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 1280638 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 957396 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 773453 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 767709 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 7 | NP03, NP04, NP06, NP01, NP05 |
region_name |
Region name | string | SEL | 0% | 7 | Bagmati, Gandaki, Karnali, Koshi, Lumbini |
F_TL |
Female population | integer | SEL | 0% | 7 | 3241525, 1358453, 909566, 2694170, 2838479 |
M_TL |
Male population | integer | SEL | 0% | 7 | 3246231, 1226393, 872561, 2559277, 2617485 |
T_TL |
Total population | integer | SEL | 0% | 7 | 6487756, 2584846, 1782127, 5253447, 5455964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 7 | 205566, 86257, 88652, 203726, 232488 |
F_05_09 |
Female population age 5-9 | integer | 0% | 7 | 212172, 92927, 87578, 217807, 237422 |
F_10_14 |
Female population age 10-14 | integer | 0% | 7 | 229212, 100842, 99592, 216670, 247954 |
F_15_19 |
Female population age 15-19 | integer | 0% | 7 | 272407, 112246, 98293, 232211, 268628 |
F_20_24 |
Female population age 20-24 | integer | 0% | 7 | 314428, 122745, 95028, 247270, 283490 |
F_25_29 |
Female population age 25-29 | integer | 0% | 7 | 344576, 134626, 82195, 263542, 292479 |
F_30_34 |
Female population age 30-34 | integer | 0% | 7 | 319128, 122614, 70092, 238140, 257768 |
F_35_39 |
Female population age 35-39 | integer | 0% | 7 | 261193, 101016, 56820, 201700, 209678 |
F_40_44 |
Female population age 40-44 | integer | 0% | 7 | 234715, 91555, 50145, 177229, 175143 |
F_45_49 |
Female population age 45-49 | integer | 0% | 7 | 204894, 83686, 45103, 157879, 150688 |
F_50_54 |
Female population age 50-54 | integer | 0% | 7 | 174156, 74448, 37146, 141023, 130569 |
F_55_59 |
Female population age 55-59 | integer | 0% | 7 | 141556, 67517, 31159, 121835, 106914 |
F_60_64 |
Female population age 60-64 | integer | 0% | 7 | 111194, 55967, 25592, 97230, 85977 |
F_65_69 |
Female population age 65-69 | integer | 0% | 7 | 81768, 43363, 17642, 73289, 67865 |
F_70_74 |
Female population age 70-74 | integer | 0% | 7 | 55112, 29743, 13441, 47685, 46133 |
F_75_79 |
Female population age 75-79 | integer | 0% | 7 | 40930, 20387, 7127, 30661, 26391 |
F_80Plus |
F_80Plus | integer | 0% | 7 | 38518, 18514, 3961, 26273, 18892 |
M_00_04 |
Male population age 0-4 | integer | 0% | 7 | 218306, 92720, 91979, 206377, 241236 |
M_05_09 |
Male population age 5-9 | integer | 0% | 7 | 230676, 101810, 89400, 221820, 250393 |
M_10_14 |
Male population age 10-14 | integer | 0% | 7 | 249677, 108076, 102259, 224022, 261792 |
M_15_19 |
Male population age 15-19 | integer | 0% | 7 | 302434, 119442, 96244, 244332, 269797 |
M_20_24 |
Male population age 20-24 | integer | 0% | 7 | 358479, 123268, 93738, 250582, 266714 |
M_25_29 |
Male population age 25-29 | integer | 0% | 7 | 379905, 121881, 87218, 261510, 267129 |
M_30_34 |
Male population age 30-34 | integer | 0% | 7 | 321635, 103409, 67695, 220651, 219413 |
M_35_39 |
Male population age 35-39 | integer | 0% | 7 | 234547, 75672, 47602, 167742, 163960 |
M_40_44 |
Male population age 40-44 | integer | 0% | 7 | 190622, 61879, 37023, 139913, 129326 |
M_45_49 |
Male population age 45-49 | integer | 0% | 7 | 186258, 64790, 38979, 139496, 126870 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 77 | NP0320, NP0321, NP0322, NP0323, NP0324 |
region_name |
Region name | string | SEL | 0% | 77 | Sindhuli, Ramechhap, Dolakha, Sindhupalchok, Kabhrepalanchok |
F_TL |
Female population | integer | SEL | 0% | 77 | 159302, 90732, 91534, 136961, 191159 |
M_TL |
Male population | integer | SEL | 0% | 77 | 154095, 82007, 86404, 132891, 185469 |
T_TL |
Total population | integer | SEL | 0% | 77 | 313397, 172739, 177938, 269852, 376628 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 77 | 12759, 5720, 6145, 9602, 12445 |
F_05_09 |
Female population age 5-9 | integer | 0% | 77 | 13241, 6116, 6538, 10095, 12563 |
F_10_14 |
Female population age 10-14 | integer | 0% | 77 | 15176, 7664, 7268, 11118, 14004 |
F_15_19 |
Female population age 15-19 | integer | 0% | 76 | 16450, 8091, 7950, 11734, 15858 |
F_20_24 |
Female population age 20-24 | integer | 0% | 77 | 15274, 7483, 7637, 11166, 16592 |
F_25_29 |
Female population age 25-29 | integer | 0% | 77 | 14375, 7007, 7875, 11860, 18136 |
F_30_34 |
Female population age 30-34 | integer | 0% | 77 | 12368, 6236, 6975, 10551, 16582 |
F_35_39 |
Female population age 35-39 | integer | 0% | 76 | 10612, 5580, 5767, 9291, 14150 |
F_40_44 |
Female population age 40-44 | integer | 0% | 77 | 9475, 5365, 5512, 8988, 13394 |
F_45_49 |
Female population age 45-49 | integer | 0% | 76 | 8886, 5796, 5435, 8729, 12806 |
F_50_54 |
Female population age 50-54 | integer | 0% | 77 | 8094, 5936, 5668, 8326, 11609 |
F_55_59 |
Female population age 55-59 | integer | 0% | 77 | 6835, 5330, 5162, 6916, 9924 |
F_60_64 |
Female population age 60-64 | integer | 0% | 76 | 5311, 4531, 4399, 6196, 8125 |
F_65_69 |
Female population age 65-69 | integer | 0% | 76 | 4159, 3592, 3512, 4544, 5697 |
F_70_74 |
Female population age 70-74 | integer | 0% | 76 | 2743, 2589, 2323, 3448, 3902 |
F_75_79 |
Female population age 75-79 | integer | 0% | 77 | 1956, 1879, 1700, 2262, 2885 |
F_80Plus |
F_80Plus | integer | 0% | 76 | 1588, 1817, 1668, 2135, 2487 |
M_00_04 |
Male population age 0-4 | integer | 0% | 77 | 12794, 5691, 6305, 10065, 13203 |
M_05_09 |
Male population age 5-9 | integer | 0% | 76 | 13124, 5974, 6549, 9976, 13315 |
M_10_14 |
Male population age 10-14 | integer | 0% | 77 | 15333, 7331, 7213, 10977, 14380 |
M_15_19 |
Male population age 15-19 | integer | 0% | 77 | 16555, 7868, 7958, 11652, 16110 |
M_20_24 |
Male population age 20-24 | integer | 0% | 77 | 16597, 7437, 8319, 12018, 17675 |
M_25_29 |
Male population age 25-29 | integer | 0% | 77 | 15572, 7695, 8989, 13485, 20122 |
M_30_34 |
Male population age 30-34 | integer | 0% | 77 | 12472, 6345, 7302, 11353, 18114 |
M_35_39 |
Male population age 35-39 | integer | 0% | 77 | 9251, 4490, 5055, 8187, 13704 |
M_40_44 |
Male population age 40-44 | integer | 0% | 77 | 7136, 3862, 4106, 7018, 10537 |
M_45_49 |
Male population age 45-49 | integer | 0% | 77 | 7928, 4407, 4253, 7494, 10678 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 39 | 82.0, 86.8, 27.9, 50.5, 59.6 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 38 | 94.0, 95.4, 67.7, 77.7, 82.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
survey_year |
survey_year | integer | 0% | 5 | 2016, 2022, 2001, 2006, 2011 |
region |
region | string | 0% | 15 | Bagmati province, Bagmati province, Central, Central, Central |
survey_id |
survey_id | string | 0% | 5 | NP2016DHS, NP2022DHS, NP2001DHS, NP2006DHS, NP2011DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 22% | 27 | 35.0, 32.0, 36.4, 38.4, 35.0 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 36 | 29.0, 21.0, 86.0, 77.0, 52.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 36 | 36.0, 24.0, 138.0, 111.0, 68.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 38 | 85.3, 83.4, 43.2, 60.0, 78.3 |
children_underweight |
Children underweight | float | CCL | 0% | 43 | 13.3, 10.5, 44.5, 46.7, 38.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
survey_year |
survey_year | integer | 0% | 6 | 2016, 2022, 1996, 2001, 2006 |
region |
region | string | 0% | 15 | Bagmati province, Bagmati province, Central, Central, Central |
survey_id |
survey_id | string | 0% | 6 | NP2016DHS, NP2022DHS, NP1996DHS, NP2001DHS, NP2006DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
Country |
Country | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
ADM1_PCODE |
ADM1 PCODE | string | 100% | - | - |
ADM1_NAME |
ADM1 NAME | string | 100% | - | - |
ADM2_PCODE |
ADM2 PCODE | string | 100% | - | - |
ADM2_NAME |
ADM2 NAME | string | 100% | - | - |
ADM3_PCODE |
ADM3 PCODE | string | 100% | - | - |
ADM3_NAME |
ADM3 NAME | string | 100% | - | - |
ADM4_PCODE |
ADM4 PCODE | string | 100% | - | - |
ADM4_NAME |
ADM4 NAME | string | 100% | - | - |
Population_group |
Population group | string | 0% | 54 | F_TL, M_TL, T_TL, F_00_04, F_05_09 |
Gender |
Gender | string | 0% | 3 | f, m, all, f, f |
Age_range |
Age range | string | 0% | 18 | all, all, all, 0-4, 5-9 |
Age_min |
Age min | string | 6% | 17 | 0, 5, 10, 15, 20 |
Age_max |
Age max | string | 11% | 16 | 4, 9, 14, 19, 24 |
Population |
Population | string | 0% | 54 | 15776443, 15123000, 30899443, 1271243, 1312748 |
Reference_year |
Reference year | string | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
Source |
Source | string | 0% | 1 | Census of population, Census of population, Census of... |
Contributor |
Contributor | string | 0% | 1 | UNFPA, UNFPA, UNFPA, UNFPA, UNFPA |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | NEPAL |
admin_code |
Admin code | string | SEL | 0% | 1 | 63295607B89032319438996 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 148039.4494 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 31126559 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 210.26 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 7 | Bagmati, Province 2, Province 1, Lumbini, Sudurpaschim |
admin_code |
Admin code | string | SEL | 0% | 7 | 38925275B1624743257395, 38925275B32852473043531,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 7 | 20295.4453, 9591.4511, 26061.1326, 19261.4903, 19743.9618 |
pop_2024 |
Population count | integer | SEL | 0% | 7 | 6444905, 6428416, 5338711, 5297051, 3008672 |
pop_density_2024 |
Population density | float | SEL | 0% | 7 | 317.55, 670.22, 204.85, 275.01, 152.38 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 22 | Kathmandu, Biratnagar, Pokhara, Birgunj, Bharatpur |
admin_code |
Admin code | integer | SEL | 0% | 22 | 1822, 2311, 1345, 1733, 1445 |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 348.6639, 194.2171, 44.8315, 28.8857, 40.8437 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 2717201, 474301, 212059, 159063, 155972 |
pop_density_2024 |
Population density | float | SEL | 0% | 22 | 7793.18, 2442.12, 4730.13, 5506.63, 3818.75 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 22 | 3862697, 987897, 151399, 90237, 153049 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 22 | 0.703, 0.48, 1.401, 1.763, 1.019 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 22 | Kathmandu, Biratnagar, Pokhariya, Laksmipur, Inaruwa |
country_code |
Country code | string | SEL | 0% | 1 | NPL, NPL, NPL, NPL, NPL |
population |
Population count | integer | SEL | 0% | 22 | 3862697, 987897, 391129, 387185, 270225 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 22 | 1822, 2311, 1545, 334, 2232 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Nepal, Nepal, Nepal, Nepal, Nepal |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 100.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 56.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 5.0 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 726,000 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 726000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 29.6 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 29.6 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 100 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state operates 3 TV stations, as well as national and... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 3.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .np |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 56% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.44 million (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.44 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 5 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 5000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 42.914 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 20.3 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | low-income South Asian economy; post-conflict fiscal... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $149.643 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 149.643 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $144.352 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 144.352 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $141.546 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 141.546 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 3.7% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.6 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $5,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $4,900 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 4900.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $4,800 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 4800.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $42.914 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 7.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 7.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 4.1% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 4.1 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +119 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 91.3 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 91.3% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 97.7% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 97.7 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 93.7% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 93.7 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 2.853 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 2.853 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 9.806 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 9.806 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 1.1 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 1.1 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 1.846 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 1.846 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.638 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.638 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 1% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 1.0 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 99% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 99.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 9,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 9000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1.091 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1.091 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 100 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 100.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1.076 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.076 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 8 million metric tons (2023 est.) |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 26.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 43.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 21.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.09 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.769 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation (overuse of wood for fuel and lack of... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Comprehensive Nuclear Test Ban, Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | varies from cool summers and severe winters in north to... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 26.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 12.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 12.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 12.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 12.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 43.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 27.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 27.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 21.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.09% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 11.357 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 11.357 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 2.025 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 2.025 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 9.332 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 9.332 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 36.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 36.9 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.769 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 4.6% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 4.6 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 147.6 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 147.6 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 29.5 million cubic meters (2022 est.) |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Nepali (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Nepali |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Chhettri 16.5%, Brahman-Hill 11.3%, Magar 6.9%, Tharu... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 16.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 147181.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 143351.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 3830.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3159.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 8849.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 70.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 26.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 43.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 12090.0 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Asia, between China and India |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 28 00 N, 84 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 28.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 147,181 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 143,351 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 3,830 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than New York State |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,159 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | China 1,389 km; India 1,770 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1389.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | varies from cool summers and severe winters in north to... |
terrain_text |
terrain_text | string | 0% | 1 | Tarai or flat river plain of the Ganges in south;... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Everest (highest peak in Asia and highest point on... |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Kanchan Kalan 70 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 2,565 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 2565.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | quartz, water, timber, hydropower, scenic beauty, small... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 26.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 12.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 12.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 12.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 12.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 43.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 27.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 27.7 |
| +10 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Nepal |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | none |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Nepal |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name probably comes from the Sanskrit term nepala,... |
government_type_text |
government_type_text | string | 0% | 1 | federal parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Kathmandu |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 27 43 N, 85 19 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 27.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+5.75 (10.75 hours ahead of Washington, DC, during... |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 5.75 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name comes from the Nepalese words kath (wooden) and... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 7 provinces (pradesh, singular - pradesh); Bagmati,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 7.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | English common law and Hindu legal concepts |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest approved by the Second... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 16.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed as a bill by either house of the Federal... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | yes |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 15 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 15.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Ram Chandra POUDEL (since 13 March 2023) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 13.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Sushila KARKI (since 12 September 2025) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 12.0 |
| +87 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | During the late 18th and early 19th centuries, the... |
background_numeric |
background_numeric | float | 0% | 1 | 18.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Nepali (official) 44.9%, Maithali 11.1%, Bhojpuri 6.2%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 44.9 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | विश्व तथ्य पुस्तक,आधारभूत जानकारीको लागि अपरिहार्य स्रोत... |
languages_note |
languages_note | string | 0% | 1 | note: 123 languages reported as mother tongue in 2021... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 19,874 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 19874.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 18,671 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 18671.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 467 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 467.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Nepalese Armed Forces (Ministry of Defense): Nepali Army... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 95,000 active Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 95000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Army's inventory includes a mix of mostly older... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18 years of age for voluntary military service for men... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 1240 Central African Republic (MINUSCA); 1,150... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 1240.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Nepali Army is responsible for territorial defense,... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 10.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 31334402.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 15352706.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 15981696.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 25.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 67.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 6.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 46.8 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 37.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 9.6 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 28.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.66 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 16.66 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.62 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -4.46 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 21.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.09 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 142.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 23.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 73.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.82 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.88 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.01 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 68.7 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 31,334,402 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 15,352,706 |
population_female_text |
population_female_text | string | 0% | 1 | 15,981,696 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 25.8% (male 4,125,244/female 3,909,135) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 67.8% (male 10,153,682/female 10,957,011) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 6.4% (2024 est.) (male 961,717/female 1,015,598) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 46.8 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 37.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 9.6 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 10.4 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 10.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 28.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 26.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 26.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 28.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 28.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.66% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 16.66 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.62 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -4.46 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of the population is divided nearly equally between... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 21.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.09% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.571 million KATHMANDU (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.571 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.93 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.93 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 81.2 |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 8.2 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 5.1 |
composition_ethnicity_primary_label_synth |
other | string | CCL | 0% | - | other |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Hindu 81.2%, Buddhist 8.2%, Muslim 5.1%, Kirat 3.2%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 81.2 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_kirat_pct_synth |
Kirat | numeric | 0% | - | 3.2 |
composition_religion_christian_1_8_prakriti_pct_synth |
Christian 1.8%; : Prakriti | numeric | 0% | - | 0.5 |
composition_religion_bon_pct_synth |
Bon | numeric | 0% | - | - |
composition_religion_jains_pct_synth |
Jains | numeric | 0% | - | - |
composition_religion_sikh_pct_synth |
Sikh | numeric | 0% | - | - |
composition_ethnicity_chhettri_pct_synth |
Chhettri | numeric | 0% | - | 16.5 |
composition_ethnicity_brahman_hill_pct_synth |
Brahman-Hill | numeric | 0% | - | 11.3 |
composition_ethnicity_magar_pct_synth |
Magar | numeric | 0% | - | 6.9 |
composition_ethnicity_tharu_pct_synth |
Tharu | numeric | 0% | - | 6.2 |
composition_ethnicity_tamang_pct_synth |
Tamang | numeric | 0% | - | 5.6 |
composition_ethnicity_bishwokarma_pct_synth |
Bishwokarma | numeric | 0% | - | 5.0 |
composition_ethnicity_musalman_pct_synth |
Musalman | numeric | 0% | - | 4.9 |
composition_ethnicity_newar_pct_synth |
Newar | numeric | 0% | - | 4.6 |
composition_ethnicity_yadav_pct_synth |
Yadav | numeric | 0% | - | 4.2 |
composition_ethnicity_rai_pct_synth |
Rai | numeric | 0% | - | 2.2 |
composition_ethnicity_pariyar_pct_synth |
Pariyar | numeric | 0% | - | 1.9 |
composition_ethnicity_gurung_pct_synth |
Gurung | numeric | 0% | - | 1.9 |
composition_ethnicity_thakuri_pct_synth |
Thakuri | numeric | 0% | - | 1.7 |
composition_ethnicity_mijar_pct_synth |
Mijar | numeric | 0% | - | 1.6 |
composition_ethnicity_teli_pct_synth |
Teli | numeric | 0% | - | 1.5 |
composition_ethnicity_yakthung_limbu_pct_synth |
Yakthung/Limbu | numeric | 0% | - | 1.4 |
composition_ethnicity_chamar_harijan_ram_pct_synth |
Chamar/Harijan/Ram | numeric | 0% | - | 1.4 |
composition_ethnicity_koiri_kushwaha_pct_synth |
Koiri/Kushwaha | numeric | 0% | - | 1.2 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 20.0 |
composition_ethnicity_primary_share_pct_synth |
other | numeric | 0% | - | 20.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Indian Mujahedeen |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 51.0 |
country_code |
Country code | string | SEL | 0% | 1 | NPL |
country_name |
Country name | string | SEL | 0% | 1 | Nepal |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | 9N |
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 51 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 14 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 14.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 59 km (2018) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 59.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 59 km (2018) 0.762-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 59.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/np.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | NPL |
society_id |
Society id | string | CCL | 0% | 1 | Ee8 |
society_name |
Society name | string | CCL | 0% | 1 | Magar |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | west2418 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:7; EA007:8; EA008:2; EA009:2; EA023:6; EA025:15 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:1; EA004:2; EA005:7; EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:3; EA033:4 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:1; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:8; EA011:1; EA012:8; EA013:2; EA014:6 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:6; EA031:NA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Nepal |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 28.0 |
longitude |
longitude | float | 0% | 1 | 84.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | NPL |
society_id |
society_id | string | CCL | 0% | 1 | Ee8 |
society_name |
society_name | string | CCL | 0% | 1 | Magar |
language_glottocode |
language_glottocode | string | CCL | 0% | 1 | west2418 |
language_name |
language_name | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Nepal |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 28.0 |
longitude |
longitude | float | 0% | 1 | 84.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 0% | 1 | 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 1 | 4 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 1 |
trance_states |
trance_states | string | 100% | - | - |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 6 |
mean_size_of_local_communities |
mean_size_of_local_communities | string | 100% | - | - |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 8 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 8 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 1 | 2 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 1 | 6 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 1 | 4 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 1 | 4 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 1 | 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | string | 100% | - | - |
descent_major_type |
descent_major_type | integer | 0% | 1 | 1 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | NPL |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 48657.1428571429 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.0857142857142857 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.154088693026447 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 143350.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.075 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.792066013005396 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 8.0 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 25.9924850463867 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 5.8 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 4.2 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 4.7 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 9.0 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.6 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.3 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 1.0 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 0.5 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 1.6 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 7.5 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 4.0 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 5.1 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.2 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 5.4 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 5.4 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 3.8 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 1.3 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 8.6 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 1.6 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 7.0 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 7.3 |
| +248 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share* | Script |
|---|---|---|---|
| Nepali (nep) | 92,858 | 99.6% | Devanagari (Nagari) |
| English (eng) | 352 | 0.4% | — |
| + 5 further languages (32 names, each under 0.05%) | |||
92,508 distinct features ·
7 languages ·
3 scripts ·
13 names in non-Roman script ·
2 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Fri, 14 Aug 2026.
* Shares are of the
93,242 names that carry a language
code; the remaining 8,613 of
101,855 are unattributed, so these
percentages do not divide into the headline count.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.