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Data

Divorce rate

See all data and research on:
Marriages & Divorces

What you should know about this indicator

How is this data described by its producer?

The crude divorce rate is defined as the number of divorces during a given year per 1,000 people.

Divorce rate
Number of divorces during a given year per 1,000 people.
Source
OECD (2025); OECD (2024); US Census Bureau (1949); Centers for Disease Control and Prevention (2020) – with minor processing by Our World in Data
Last updated
October 7, 2025
Next expected update
October 2026
Date range
1960–2022
Unit
per 1,000 people

Related research and writing

A dark blue background with a lighter blue world map superimposed over it. Yellow text that says Marriages and Divorces by Our World in Data

Marriages and Divorces

Bastian Herre, Veronika Samborska, Esteban Ortiz-Ospina, and Max Roser

Sources and processing

This data is based on the following sources

OECD – OECD Family Database - Marriage and Divorce Rates

Marriage and divorce rates data from the OECD Family Database, including mean age at marriage. The OECD Family Database provides cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states.

Retrieved on
October 7, 2025
Retrieved from
https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FAMILY&df[ag]=OECD
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
OECD (2025). OECD Family Database.

Marriage and divorce rates data from the OECD Family Database, including mean age at marriage. The OECD Family Database provides cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states.

Retrieved on
October 7, 2025
Retrieved from
https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FAMILY&df[ag]=OECD
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
OECD (2025). OECD Family Database.

OECD – OECD Family Database

The OECD Family Database provides cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. It includes 70 indicators under four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes.

Retrieved on
December 30, 2024
Retrieved from
https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FAMILY&df[ag]=OECD&dq=..FAM14%2BFAM13%2BFAM15A%2BFAM15B%2BFAM10C%2BFAM10B%2BFAM10A%2BFAM9C%2BFAM9A%2BFAM9B%2BFAM7%2BFAM17%2BFAM8C%2BFAM8B%2BFAM11D%2BFAM11C%2BFAM11B%2BFAM11A%2BFAM8A%2BFAM5C%2BFAM5B%2BFAM5A%2BFAM4B%2BFAM12A%2BFAM12B%2BFAM4A%2BFAM3&pd=1960%2C2022&to[TIME_PERIOD]=false&vw=tb
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
OECD (2024). OECD Family Database.

The OECD Family Database provides cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. It includes 70 indicators under four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes.

Retrieved on
December 30, 2024
Retrieved from
https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FAMILY&df[ag]=OECD&dq=..FAM14%2BFAM13%2BFAM15A%2BFAM15B%2BFAM10C%2BFAM10B%2BFAM10A%2BFAM9C%2BFAM9A%2BFAM9B%2BFAM7%2BFAM17%2BFAM8C%2BFAM8B%2BFAM11D%2BFAM11C%2BFAM11B%2BFAM11A%2BFAM8A%2BFAM5C%2BFAM5B%2BFAM5A%2BFAM4B%2BFAM12A%2BFAM12B%2BFAM4A%2BFAM3&pd=1960%2C2022&to[TIME_PERIOD]=false&vw=tb
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
OECD (2024). OECD Family Database.

US Census Bureau – Vital Statistics, Health, and Nutrition Series

Vital statistics in the United States, including births, deaths, marriages, and divorces, are compiled nationally by the National Office of Vital Statistics, with data sourced from state and city registration officials.

Retrieved on
January 22, 2025
Retrieved from
https://www.census.gov/library/publications/1949/compendia/hist_stats_1789-1945.html
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
National Office of Vital Statistics, "Marriage and Divorce Statistics: United States, 1946," Vital Statistics-Special. Reports, vol. 27, No. 10.

Vital statistics in the United States, including births, deaths, marriages, and divorces, are compiled nationally by the National Office of Vital Statistics, with data sourced from state and city registration officials.

Retrieved on
January 22, 2025
Retrieved from
https://www.census.gov/library/publications/1949/compendia/hist_stats_1789-1945.html
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
National Office of Vital Statistics, "Marriage and Divorce Statistics: United States, 1946," Vital Statistics-Special. Reports, vol. 27, No. 10.

Centers for Disease Control and Prevention – Marriage Rates in the United States

Marriage license data is collected locally and reported to NVSS via the Vital Statistics Cooperative Program. Coverage varies by year and state: Alaska and Hawaii were included from 1959 and 1960, respectively, while California, Louisiana, and Georgia had exclusions in specific years. Population counts for non-reporting states are excluded from rate calculations for those years. Reports and data are available on the CDC and NCHS websites.

Retrieved on
January 22, 2025
Retrieved from
https://www.cdc.gov/nchs/data/hestat/marriage_rate_2018/marriage_rate_2018.pdf
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Curtin, S., & Sutton, P. D. (2020). Marriage rates in the United States, 1900–2018. Centers for Disease Control and Prevention.

Marriage license data is collected locally and reported to NVSS via the Vital Statistics Cooperative Program. Coverage varies by year and state: Alaska and Hawaii were included from 1959 and 1960, respectively, while California, Louisiana, and Georgia had exclusions in specific years. Population counts for non-reporting states are excluded from rate calculations for those years. Reports and data are available on the CDC and NCHS websites.

Retrieved on
January 22, 2025
Retrieved from
https://www.cdc.gov/nchs/data/hestat/marriage_rate_2018/marriage_rate_2018.pdf
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Curtin, S., & Sutton, P. D. (2020). Marriage rates in the United States, 1900–2018. Centers for Disease Control and Prevention.

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

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: Divorce rate”, part of the following publication: Bastian Herre, Veronika Samborska, Esteban Ortiz-Ospina, and Max Roser (2020) - “Marriages and Divorces”. Data adapted from OECD, US Census Bureau, Centers for Disease Control and Prevention. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/divorces-per-1000-people.html [online resource] (archived on March 4, 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:

OECD (2025) and other sources – with minor processing by Our World in Data

Full citation

OECD (2025); OECD (2024); US Census Bureau (1949); Centers for Disease Control and Prevention (2020) – with minor processing by Our World in Data. “Divorce rate” [dataset]. OECD, “OECD Family Database - Marriage and Divorce Rates”; OECD, “OECD Family Database”; US Census Bureau, “Vital Statistics, Health, and Nutrition Series”; Centers for Disease Control and Prevention, “Marriage Rates in the United States” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/divorces-per-1000-people.html (archived on March 4, 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.

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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/divorces-per-1000-people.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/divorces-per-1000-people.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/divorces-per-1000-people.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/divorces-per-1000-people.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/divorces-per-1000-people.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/divorces-per-1000-people.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/divorces-per-1000-people.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/divorces-per-1000-people.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear