Laos: High Resolution Population Density Maps + Demographic Estimates

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  • This dataset updates: Never
This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates
Additional information
Time Period of the Dataset [?]
June 19, 2019-February 18, 2023 ... More
Modified [?]
18 February 2023
Dataset Added on HDX [?]
20 June 2019 Less
Expected Update Frequency
Never
Location
Lao People's Democratic Republic
Source
Facebook
... More
Contributor
Data for Good at Meta
Methodology

To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. The resulting maps are the most detailed and actionable tools available for aid and research organizations. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: https://dataforgood.fb.com/docs/methodology-high-resolution-population-density-maps-demographic-estimates/

For information about how to use HDX to access these datasets, please visit: https://dataforgood.fb.com/docs/high-resolution-population-density-maps-demographic-estimates-documentation/

Adjustments to match the census population with the UN estimates are applied at the national level. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. This preserves the relative population totals across administrative units while matching the UN total. More information can be found here: https://dataforgood.fb.com/docs/census-information-for-high-resolution-population-density-maps/

Caveats / Comments

This data contains population data from multiple countries. We are moving to using larger envelopes for countries so that users can define their own boundaries and to simplify our production pipeline to only pull from a single cloud-optimized geotiff.

To reference this data, please use the following citation: "Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed DAY MONTH YEAR."

Please note that as of 2024, Meta’s high resolution population density maps are no longer being updated.
License
Creative Commons Attribution International (CC BY)
Tags
children
elderly
health
women
youth
File Format
Visibility
Public
Less
Export metadata for this dataset: JSON | CSV
[{"value": 2, "date": "2024-10-07"}, {"value": 2, "date": "2024-10-14"}, {"value": 5, "date": "2024-10-21"}, {"value": 2, "date": "2024-10-28"}, {"value": 8, "date": "2024-11-04"}, {"value": 2, "date": "2024-11-11"}, {"value": 5, "date": "2024-11-18"}, {"value": 3, "date": "2024-11-25"}, {"value": 26, "date": "2024-12-02"}, {"date": "2024-12-09", "value": 0}, {"value": 3, "date": "2024-12-16"}, {"date": "2024-12-23", "value": 0}, {"value": 2, "date": "2024-12-30"}, {"value": 6, "date": "2025-01-06"}, {"value": 2, "date": "2025-01-13"}, {"date": "2025-01-20", "value": 0}, {"value": 3, "date": "2025-01-27"}, {"date": "2025-02-03", "value": 0}, {"date": "2025-02-10", "value": 0}, {"date": "2025-02-17", "value": 0}, {"date": "2025-02-24", "value": 0}, {"date": "2025-03-03", "value": 0}, {"value": 1, "date": "2025-03-10"}, {"value": 2, "date": "2025-03-17"}, {"value": 3, "date": "2025-03-24"}]

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Data and Resources [15]