Fork this notebook to get started on accessing data in the BigQuery dataset by writing SQL queries using the BQhelper module.

Context

World Development Indicators (WDI) by World Bank includes data spanning up to 56 years—from 1960 to 2016. WDI frames global trends with indicators on population, population density, urbanization, GNI, and GDP. These indicators measure the world’s economy and progress toward improving lives, achieving sustainable development, providing support for vulnerable populations, and reducing gender disparities.

Content

World Development Indicators Data is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Acknowledgements

“World Development Indicators” by the World Bank, used under CC BY 3.0 IGO.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:worldbank_wdi

Banner photo by Joshua Rawson-Harris on Unsplash

Graph and download economic data for Population, Total for Spain (POPTOTESA647NWDB) from 1960 to 2024 about Spain and population.

Employment to population ratio, 15+, total (%) (modeled ILO estimate) in United States was reported at 59.4 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Employment to population ratio, 15+, total - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Rural population in World was reported at 3445666944 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset combines key health statistics from a variety of sources to provide a look at global health and population trends. It includes information on nutrition, reproductive health, education, immunization, and diseases from over 200 countries.

Update Frequency: Biannual

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://datacatalog.worldbank.org/dataset/health-nutrition-and-population-statistics

https://cloud.google.com/bigquery/public-data/world-bank-hnp

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Citation: The World Bank: Health Nutrition and Population Statistics

Banner Photo by @till_indeman from Unplash.

Inspiration

What’s the average age of first marriages for females around the world?

Population of countries (1960 to 2023) dataset from World Bank.

Source: https://data.worldbank.org/indicator/SP.POP.TOTL

License: https://data.worldbank.org/indicator/SP.POP.TOTL

Graph and download economic data for Population Ages 15 to 64 for China (SPPOP1564TOZSCHN) from 1960 to 2023 about 15 to 64 years, China, and population.

Labor force participation rate, total (% of total population ages 15+) (national estimate) in United States was reported at 62.6 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Labor force participation rate, total (% of total population ages 15+) (national estimate) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world’s most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of almost 145,000 people in 139 economies, representing 97 percent of the world’s population. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

National coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19–related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Additionally, phone surveys were not a viable option in 16 economies in 2021, which were then surveyed in 2022.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender..

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

Graph and download economic data for Population, Total for the United Arab Emirates (POPTOTAEA647NWDB) from 1960 to 2024 about United Arab Emirates and population.

Population, total in Bangladesh was reported at 173562364 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Bangladesh - Population, total - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Content

This dataset contains population and population density data from the world bank. The world bank has accurate data from the year 1950, and this data set contains projections from the year 2021 onwards. (see my notebook for more) This dataset also contains the female and male population spilts.

Acknowledgements

Thanks to the world bank: https://data.worldbank.org/indicator/SP.POP.TOTL

Inspiration

This is a very simple data set aimed at users who wan to get involved with cleaning and visualisations data in python/pandas. See my code for inspiration.

Population ages 0-14 (% of total population) in Iran was reported at 22.84 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Iran - Population ages 0-14 (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Population, total in Azerbaijan was reported at 10202850 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Azerbaijan - Population, total - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Population, total in Austria was reported at 9178482 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Austria - Population, total - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Population, total in World was reported at 8061876001 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, total - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Population ages 0-14, female (% of female population) in World was reported at 24.15 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population ages 0-14, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Urban population in Denmark was reported at 5297169 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Denmark - Urban population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Access to electricity (% of population) in Swaziland was reported at 86.4 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Swaziland - Access to electricity (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.