Population & Socio-economy
Baseline Population
The population statistics presented here are sourced from the common operational datasets (CODs), and are typically disaggregated by age and/or gender, and extend to administrative levels 1 or 2. Primary data providers include the UNFPA and OCHA country offices. These data are projections based on demographic indicators, and therefore caution should be used when comparing to population data from other sources.
Summary
Attribute | Details |
---|---|
Data provider | UNFPA, OCHA country offices |
Dataset | Global Subnational Population Statistics |
Time series | False |
Update frequency | Annually |
Related tables | Gender |
Parameters Returned
The table below describes the parameters returned from this endpoint. For available query parameters, please see the API sandbox.
Parameter | Description | Source |
---|---|---|
resource_hdx_id |
Unique resource UUID on HDX | Resource |
gender |
The gender of the population group in question, set to "all" if there is no disaggregation | Gender |
age_range |
The age range of the population group in question, set to "all" if there is no disaggregation | |
min_age |
The minimum age from age_range , set to null if age_range is "all" and there is no age disaggregation |
|
max_age |
The maximum age from age_range , set to null if age_range is "all" and there is no age disaggregation, or if there is no upper limit to the age range |
|
population |
The number of people | |
reference_period_start |
The start date for which the data are applicable | |
reference_period_end |
The end date for which the data are applicable | |
location_code |
Location p-code, based on the ISO-3 (ISO 3166 alpha-3) standard | Location |
location_name |
Location name, based on the "short name" from the UN M49 Standard | Location |
location_ref |
A reference to the id of the associated entry in the location table |
Location |
admin1_code |
Admin 1 p-code | Admin 1 |
admin1_name |
Admin 1 name | Admin 1 |
provider_admin1_name |
Admin 1 names provided in the original source data | |
admin1_ref |
A reference to the id of the associated entry in the admin 1 table |
Admin 1 |
admin2_code |
Admin 2 p-code | Admin 2 |
admin2_name |
Admin 2 name | Admin 2 |
provider_admin2_name |
Admin 2 names provided in the original source data | |
admin2_ref |
A reference to the id of the associated entry in the admin 2 table |
Admin 2 |
Transformations applied
- The table has been reshaped from wide to long: demographic-specific columns
have been cast to
gender
,age_range
, andpopulation
- The reference period is obtained from the HDX dataset
Usage Notes
- Age disaggregation ranges are not consistent across countries
- Any aggregation to a higher administrative level (e.g., admin 1 for a country where admin 2 is also available) has been taken directly from the data provided, and was not computed in the API pipeline
- An “all” value in the
gender
andage_range
columns indicates no disaggregation age_range
is expressed as "[min_age
]-[max_age
]", wheremax_age
is inclusive, or "[min_age
]+" for an age range starting atmin_age
or above
Poverty Rate
The global Oxford Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets. The MPI assesses poverty through three main dimensions: health, education, and living standards, each of which is represented by specific indicators. For each country, MPI trends over time are supplied if available. Relevant OPHI methodological notes are 58, 59 and 60.
Summary
Attribute | Details |
---|---|
Data provider | Oxford Poverty and Human Development Initiative (OPHI) |
Dataset | Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index data series" |
Time series | Annual, with some combined years |
Update frequency | Annually |
Related tables | None |
Parameters Returned
The table below describes the parameters returned from this endpoint. For available query parameters, please see the API sandbox.
Parameter | Description | Source |
---|---|---|
resource_hdx_id |
Unique resource UUID on HDX | Resource |
mpi |
The multidimensional poverty index, derived as a product of the headcount_ratio and intensity_of_deprivation . Note that this metric is presented as a fraction, while the others are percentages. |
|
headcount_ratio |
The percentage of people deprived in 33% or more indicators | |
intensity_of_deprivation |
The average proportion of indicators in which people are deprived, given as a percentage | |
vulnerable_to_poverty |
The percentage of people deprived in 20-33% of indicators | |
in_severe_poverty |
The percentage of people deprived in 50% or more indicators | |
reference_period_start |
The start date for which the data are applicable | |
reference_period_end |
The end date for which the data are applicable | |
location_code |
Location p-code, based on the ISO-3 (ISO 3166 alpha-3) standard | Location |
location_name |
Location name, based on the "short name" from the UN M49 Standard | Location |
location_ref |
A reference to the id of the associated entry in the location table |
Location |
admin1_code |
Admin 1 p-code | Admin 1 |
admin1_name |
Admin 1 name | Admin 1 |
provider_admin1_name |
Admin 1 names provided in the original source data |
Transformations applied
- For rows in the original data with two timepoints, we take each timepoint as single entry into HDX HAPI
- The reference period is constructed using the full range of the year or year range presented in the “year” column, pertaining to the timepoint in question, of the original data
Usage Notes
- The data are available at the national and admin 1 level
- The admin name from the provider is supplied along with p-codes and corresponding standardised admin names where available
- We use p-codes from the source data which was p-coded by taking the admin 1
names, and applying the algorithm from
hdx-python-country
- Where admin 1 names could not be p-coded, the provided p-codes from the source data are at national level
- Trends are estimated using indicators in the global MPI that are harmonised across the time periods and are used where data are available for a country
- For any country where trends are unavailable in the source, the latest data (which is not harmonised across time) are used instead