Resources to strengthen statistical capacity in developing countries
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How to cite this page
To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:
“Data Page: Resources to strengthen statistical capacity in developing countries”. Our World in Data (2026). Data adapted from Data from multiple sources compiled by the UN. Retrieved from https://archive.ourworldindata.org/20260511-195424/grapher/resources-statistical-capacity.html [online resource] (archived on May 11, 2026).How to cite this data
In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:
Data from multiple sources compiled by the UN (2023) – processed by Our World in DataFull citation
Data from multiple sources compiled by the UN (2023) – processed by Our World in Data. “Resources to strengthen statistical capacity in developing countries” [dataset]. Data from multiple sources compiled by the UN, “United Nations Sustainable Development Goals 2023-Q2” [original data]. Retrieved May 12, 2026 from https://archive.ourworldindata.org/20260511-195424/grapher/resources-statistical-capacity.html (archived on May 11, 2026).Download
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Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.
Data API
Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.
Data URL (CSV format)
https://ourworldindata.org/grapher/resources-statistical-capacity.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/resources-statistical-capacity.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/resources-statistical-capacity.csv?v=1&csvType=full&useColumnShortNames=false")Python with Pandas
import pandas as pd
import requests
# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/resources-statistical-capacity.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})
# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/resources-statistical-capacity.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/resources-statistical-capacity.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/resources-statistical-capacity.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/resources-statistical-capacity.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear