1. Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets.
2. We capitalized on a recent data harmonization initiative (SPI-Birds) and linked it to a generalized modeling framework to identify the demographic and environmental drivers of large-scale population decline in migratory pied flycatchers (Ficedula hypoleuca) breeding across Britain.
3. We implemented a generalized integrated population model (IPM) to estimate age-specific vital rates, including their dependency on environmental conditions, and total and breeding population size of pied flycatchers using long-term (34–64 years) monitoring data from seven locations representative of the British breeding range. We then quantified the relative contributions of different vital rates and population structures to changes in short- and long-term population growth rates using transient life table response experiments (LTREs).
4. Substantial covariation in population sizes across breeding locations suggested that change was the result of large-scale drivers. This was supported by LTRE analyses, which attributed past changes in short-term population growth rates and long-term population trends primarily to variation in annual survival and dispersal dynamics, which largely act during migration and/or non-breeding season. Contributions of variation in local reproductive parameters were small in comparison, despite sensitivity to local temperature and rainfall within the breeding period.
5. We show that both short- and longer-term population changes of British-breeding pied flycatchers are likely linked to factors acting during migration and in non-breeding areas, where future research should be prioritized. We illustrate the potential of multi-population analyses for informing management at (inter)national scales and highlight the importance of data standardization, generalized and accessible analytical tools, and reproducible workflows to achieve them. Methods Data collection protocols are described in the paper, and further references provided therein. Raw data were harmonised and converted to a standard format by SPI-Birds (https://spibirds.org/) and then collated into the input data provided here using code deposited on https://github.com/SPI-Birds/SPI-IPM. Details on this step of data processing will be added to https://spi-birds.github.io/SPI-IPM/. The MCMC sample data files are the outputs of the integrated population models fitted in the study. Please refer to the published article and material deposited on the associated GitHub repository for more details.

This data set represents 2000 population density by block group as a 100-m grid using data from the 2000 Census of Population and Housing. The demographic data is from CensusCD 2000 Short Form Blocks published by GeoLytics, E. Brunswick, NJ, which uses the 2000 Census Summary File 1 (SF 1). Grid cell values represent population density in people per square kilometer multiplied by 10 so that the data could be stored as integer.

Global Share of Population Having at Least Completed Short-Cycle Tertiary Education by Country, 2023 Discover more data with ReportLinker!

The Vatican City, often called the Holy See, has the smallest population worldwide, with only 496 inhabitants. It is also the smallest country in the world by size. The islands Niue, Tuvalu, and Nauru followed in the next three positions. On the other hand, India is the most populated country in the world, with over 1.4 billion inhabitants.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: Not available in microdata sample - Vacant units: Not available in microdata sample - Households: Yes - Individuals: Yes - Group quarters: Includes but not identified - Special populations: No special populations

UNIT DESCRIPTIONS: - Households: Persons who share a dwelling and food budget. In general, a household corresponds to family since members of a family usually share a food budget. Usually, most dwelling contain one household. - Group quarters: An administrative unit that provides dormitory facilities and usually food services to at least five individuals.

Universe

Israeli citizens, permanent residents without Israeli citizenship and potential immigrants who, on the census day, lived in the area covered, including those who had been away from the covered area for less than one year. The population also included tourists.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Central Bureau of Statistics - Israel

SAMPLE DESIGN: Systematic sample of every 5th household after a random start. 1-in-2 sample drawn from that by MPC.

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 556,365

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of questionnaires were prepared for the census, a short and long questionnaire. The short questionnaire consisted of five question covering basic demographic topics for each person residing in the household. These questionnaries were distributed to 80 percent of the dwellings.

Response rate

COVERAGE: 99.30%

This table shows resident population of London broken down by nationality, showing data for London's largest communities in 2004, and 2008 to 2012.

Also shows the percentage of the UK community that live in London.
The Annual Population Survey (APS) sampled around 325,000 people in the UK (around 28,000 in London). As such all figures must be treated with some caution. 95% confidence interval levels are provided.

All numbers based on fewer than 50 surveys have been suppressed.
Numbers have been rounded to the nearest thousand.

The APS is the only inter-censal data source that can provide estimates of the population stock by nationality. The data have a range of limitations, particularly in relation to their poor coverage of short-term migrants or recent arrivals. They also struggle to provide estimates for small migrant populations due to small sample sizes.
Information about Londoners by Country of Birth using APS data, can be found in DMAG Briefing 2008-05 http://legacy.london.gov.uk/gla/publications/factsandfigures/dmag-briefing-2008-05.pdf

ONS website

Trinidad and Tobago TT: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Total: % Cumulative data was reported at 9.613 % in 2009. This records a decrease from the previous number of 9.833 % for 2008. Trinidad and Tobago TT: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 9.723 % from Dec 2008 (Median) to 2009, with 2 observations. The data reached an all-time high of 9.833 % in 2008 and a record low of 9.613 % in 2009. Trinidad and Tobago TT: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Total: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.; ; UNESCO Institute for Statistics; ;

Norway Population: 16 Years and Above: Short Tertiary data was reported at 1,014,637.000 Person in 2017. This records an increase from the previous number of 990,743.000 Person for 2016. Norway Population: 16 Years and Above: Short Tertiary data is updated yearly, averaging 588,449.500 Person from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 1,014,637.000 Person in 2017 and a record low of 274,442.000 Person in 1980. Norway Population: 16 Years and Above: Short Tertiary data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.G003: Population: 16 Years and Above: by Education Level and Sex. Tertiary short education is tertiary education with short comprises higher education up to 4 years in duration.

Life history traits are used to predict asymptotic odds of extinction from dynamic conditions. Less is known about how life history traits interact with stochasticity and population structure of finite populations to predict near-term odds of extinction. Through empirically parameterized matrix population models, we study the impact of life history (reproduction, pace), stochasticity (environmental, demographic), and population history (existing, novel) on the transient population dynamics of finite populations of plant species. Among fast and slow pace and either uniform or increasing reproductive intensity or short or long reproductive lifespan, slow, semelparous species are at the greatest risk of extinction. Long reproductive lifespans buffer existing populations from extinction while the odds of extinction of novel populations decreases when reproductive effort is uniformly spread across the reproductive lifespan. Our study highlights the importance of population structure, pace, and two distinct aspects of parity for predicting near-term odds of extinction.

Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) in Thailand was reported at 17.06 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Educational attainment, at least completed short-cycle tertiary, population 25+, total (cumulative) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Population Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Short Hills, New Jersey by age, education, race, gender, work experience and more.

Jamaica Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: % Cumulative: Female data was reported at 18.870 % in 2022. This records an increase from the previous number of 18.329 % for 2021. Jamaica Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: % Cumulative: Female data is updated yearly, averaging 19.324 % from Dec 2010 (Median) to 2022, with 12 observations. The data reached an all-time high of 21.202 % in 2019 and a record low of 15.960 % in 2010. Jamaica Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: % Cumulative: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jamaica – Table JM.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.;;

Parameter estimates of population growth and temperature model.

Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) in Costa Rica was reported at 18 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Costa Rica - Educational attainment, at least completed short-cycle tertiary, population 25+, male (cumulative) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

As of February 2025, there were 5.56 billion internet users worldwide, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2024. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of April 2024. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Asia was home to the largest number of online users worldwide – over 2.93 billion at the latest count. Europe ranked second, with around 750 million internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2023, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in the Arab States and Africa, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller gender gap. As of 2023, global internet usage was higher among individuals between 15 and 24 years across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

United States US: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Male: % Cumulative data was reported at 41.152 % in 2015. This records an increase from the previous number of 40.826 % for 2014. United States US: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 38.318 % from Dec 2004 (Median) to 2015, with 11 observations. The data reached an all-time high of 41.152 % in 2015 and a record low of 36.474 % in 2005. United States US: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.; ; UNESCO Institute for Statistics; ;

The projections are based upon actual values obtained in 2015, and estimates obtained for 2016. A full list of all projections, including historical projections, can be found at http://apps.treasury.act.gov.au/demography/projections/act.

These population projections are not intended to present predictions of the demographic future to any degree of reliability or precision.

The population projections contained here are the projected population resulting from certain assumptions about future trends in fertility, mortality and migration trends.

Future population trends are influenced by a variety of social, economic and political factors, with significant fluctuation in short-term population growth rates as well as in the underlying social, economic and political influencers. Numerous behavioural assumptions are required to be made for each age cohort and sex. Many of these assumptions will be swamped by the random impacts on the future movements of individuals through births, deaths, and relocation.

Neither the authors nor the ACT Government give warranty in relation to these projections, and no liability is accepted by the authors or the Government or any other person who assisted in the preparation of the publication, for errors and omissions, loss or damage suffered as a result of any person acting in reliance thereon.

Marshall Islands MH: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: % Cumulative: Male data was reported at 4.596 % in 2011. Marshall Islands MH: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: % Cumulative: Male data is updated yearly, averaging 4.596 % from Dec 2011 (Median) to 2011, with 1 observations. Marshall Islands MH: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: % Cumulative: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Marshall Islands – Table MH.World Bank.WDI: Education Statistics. The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.; ; UNESCO Institute for Statistics (http://uis.unesco.org/); ;

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Occupied dwellings

UNITS IDENTIFIED: - Households: Yes - Individuals: Yes - Group quarters: No - Special populations: Mortality at household level available as unharmonized variables.

UNIT DESCRIPTIONS: - Group quarters: Not identified

Universe

Residents in Vietnam, including those usually resident in Vietnam, but who were overseas at the time of the census; special groups were enumerated, including the police force, army and foreign affairs.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Constructed by census agency. Microdata files from CD dated September 7, 2000

SAMPLE DESIGN: Stratified systematic sample of enumeration areas. Strata correspond to 122 geographic areas, according to urban/rural and provinces/cities. All dwellings/households within an enumeration area are included in the sample.

SAMPLE FRACTION: 3%

SAMPLE SIZE (person records): 2,368,167

Mode of data collection

Face-to-face [f2f]

Research instrument

Two forms: long (3% sample survey) and short (remaining 97% of the population). The long form contained both the core and sample questions. Dwelling questions were included as core questions (100% of population) and, in rural areas, additional household questions on means of production were included on both long and short forms.

Response rate

UNDERCOUNT: No official estimate

Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) in St Lucia was reported at 21.91 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. St Lucia - Educational attainment, at least completed short-cycle tertiary, population 25+, female (cumulative) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.