Contains development-related data for 75 districts in Nepal.

nepal

Format

An sf data frame with 75 rows, 61 variables, and a geometry column:

id

Unique ID

region

Nepal region

zone

Nepal zone

district

Nepal district

depecprov

Deprivation in economic provisioning

povindex

Human Poverty Index

pcinc

Per Capita Income

pcincppp

Per Capita Income PPP

pcincmp

Per capita income, Rs. at market price

malkids

Percentage of children under age five who are malnourished

lif40

Percentage of People not expected to survive age 40

nosafh20

Percentage without safe water

population

Population

boyg1_5

Number of Boys Enrolled in Grade 1-5 (2012-2013)

girlg1_5

Number of Girls Enrolled in Grade 1-5 (2012-2013)

kids1_5

Number of Children Enrolled in Grade 1-5 (2012-2013)

schoolcnt

Number of Schools (2012-2013)

schlpkid

Number of Schools per child (in thousands) (2012-2013)

schlppop

Number of Schools per population (in thousands) (2012-2013)

ad_illit

Adult illiteracy rate (2011)

ad_ilgt50

Dummy variable with value of 1 if adult illiteracy rate >50pct (2011)

lon

Longitude

lat

Latitude

xxCAMT

Project Sector Committed Amount: xx = sector: Agriculture (AG), Business Banking (BANK), Communication (COMM), Conflict Resolution (CON), Education (EDU), Energy (ENGY), Environment (ENV), Forestry (FOR), Government and Civil Society (GOV), Health (HEALT), Humanitarian Aid (HUM), Industry (IND), Multi-Sector (MUL), Social Infrastructure (SOC), Tourism (TOUR), Transport and Storage (TRAN), Water Sanitation (WAT), Total (TOT)

xxDAMT

Project Sector Distributed Amount by sector xx (see above)

Source

Documentation for original data: AidData (1997-2014 with most projects from 2007-14) and http://data.opennepal.net/

Details

Sf object, unprojected. EPSG 4326: WGS84.

Examples

if (requireNamespace("sf", quietly = TRUE)) { library(sf) data(nepal) plot(nepal["kids1_5"]) }