What you should know about this indicator
Sources and processing
This data is based on the following sources
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.
Notes on our processing step for this indicator
The World Bank’s Gender Statistics no longer includes this indicator, so we take it directly from Women, Business and the Law (WBL). We combine two WBL files: the historical data for the reports from 1971 to 2024, and the 2026 report, which the World Bank recalculated using the same method. There was no 2025 report using this method, so there is no data for 2024.
In its 2026 report, the World Bank corrected some answers from earlier years, but it did not update its historical data to match. We asked the World Bank, and its WBL team sent us the first year each correction applies to. We used this to correct the historical data ourselves, and recalculated the scores for the years affected. So for these answers, our data differs from the historical file the World Bank publishes.
Each WBL report describes the laws in force in the year before it is published (on October 1, in recent reports), so we show each report’s data in that earlier year, as the World Bank recommends. For example, the 2026 report is shown as 2025.
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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: Can women apply for a passport in the same way as men?”, part of the following publication: Bastian Herre, Veronika Samborska, Pablo Arriagada, and Hannah Ritchie (2023) - “Women’s Rights”. Data adapted from World Bank. Retrieved from https://archive.ourworldindata.org/20261113-205255/grapher/women-can-apply-passport-same-as-men.html [online resource] (archived on November 13, 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:
World Bank – Women, Business and the Law (2024); World Bank – Women, Business and the Law (2026) – processed by Our World in DataFull citation
World Bank – Women, Business and the Law (2024); World Bank – Women, Business and the Law (2026) – processed by Our World in Data. “Can women apply for a passport in the same way as men?” [dataset]. World Bank, “Women, Business and the Law” [original data]. Retrieved November 14, 2026 from https://archive.ourworldindata.org/20261113-205255/grapher/women-can-apply-passport-same-as-men.html (archived on November 13, 2026).Download
Quick download
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/women-can-apply-passport-same-as-men.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/women-can-apply-passport-same-as-men.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/women-can-apply-passport-same-as-men.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/women-can-apply-passport-same-as-men.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/women-can-apply-passport-same-as-men.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/women-can-apply-passport-same-as-men.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/women-can-apply-passport-same-as-men.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/women-can-apply-passport-same-as-men.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear