Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population, female (% of total population) in World was reported at 49.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
In terms of population size, the sex ratio in the United States favors females, although the gender gap is remaining stable. In 2010, there were around 5.17 million more women, with the difference projected to decrease to around 3 million by 2027.
Gender ratios by U.S. state In the United States, the resident population was estimated to be around 331.89 million in 2021. The gender distribution of the nation has remained steady for several years, with women accounting for approximately 51.1 percent of the population since 2013. Females outnumbered males in the majority of states across the country in 2020, and there were eleven states where the gender ratio favored men.
Metro areas by population National differences between male and female populations can also be analyzed by metropolitan areas. In general, a metropolitan area is a region with a main city at its center and adjacent communities that are all connected by social and economic factors. The largest metro areas in the U.S. are New York, Los Angeles, and Chicago. In 2019, there were more women than men in all three of those areas, but Jackson, Missouri was the metro area with the highest share of female population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the Lucknow, India metro area from 1950 to 2025.
The statistic shows the total population in the United Kingdom from 2015 to 2019, with projections up until 2025. The population grew steadily over this period.
Population of the United Kingdom
Despite a fertility rate just below the replacement rate, the United Kingdom’s population has been slowly but steadily growing, increasing by an average of 0.6 percent every year since 2002. The age distribution has remained roughly the same for the past ten years or so, with the share of the population over 65 years old seeing a slight increase as the baby boomer generation enters into that age bracket. That share is likely to continue growing slightly, as the United Kingdom has one of the highest life expectancies in the world.
The population of the island nation is predominantly white Christians, but a steady net influx of immigrants, part of a legacy of the wide-reaching former British Empire, has helped diversify the population. One of the largest ethnic minorities in the United Kingdom is that of residents of an Indian background, born either in the UK, India, or in other parts of the world. India itself is experiencing problems with rapid population growth, causing some of its population to leave the country in order to find employment. The United Kingdom’s relatively lower levels of unemployment and the historical connection between the two countries (which has also resulted in family connections between individuals) are likely reasons that make it a popular destination for Indian emigrants.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the Rampur, India metro area from 1950 to 2025.
Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the Jhansi, India metro area from 1950 to 2025.
The statistic shows the total population in the United States from 2015 to 2021, with projections up until 2027. In 2021, the total population of the U.S. amounted to approximately 332.18 million inhabitants.
The United States' economy over the last decade
The United States of America is the world’s largest national economy and the second most prominent trader globally, trailing just behind China. The country is also one of the most populated countries in the world, trailing only China and India. The United States' economy prospers primarily due to having a plentiful amount of natural resources and advanced infrastructure to cope with the production of goods and services, as well as the population and workforce to enable high productivity. Efficient productivity led to a slight growth in GDP almost every year over the past decade, despite undergoing several economic hardships towards the late 2000's.
In addition, the United States holds arguably one of the most important financial markets, with the majority of countries around the world having commercial connections with American companies. Dependency on a single market like the United States has however caused several global dilemmas, most evidently seen during the 2008 financial crisis. What initially started off as a bursting of the U.S. housing bubble lead to a worldwide recession and the necessity to reform national economics. The global financial crisis affected the United States most drastically, especially within the unemployment market as well as national debt, which continued to rise due to the United States having to borrow money in order to stimulate its economy.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in Switzerland was estimated at 9.1 million people in 2025, according to the latest census figures and projections from Trading Economics. This dataset provides - Switzerland Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<ul style='margin-top:20px;'>
<li> urban population for 2022 was <strong>914,957,112</strong>, a <strong>0.11% increase</strong> from 2021.</li>
<li> urban population for 2021 was <strong>913,985,564</strong>, a <strong>0.15% increase</strong> from 2020.</li>
<li> urban population for 2020 was <strong>912,595,725</strong>, a <strong>0.6% increase</strong> from 2019.</li>
</ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.
The Government recognizes the fact that Population and Housing Census is the single most important source of demographic and socio-economic data in the country. Population and Housing Census data are important in the preparation of social and economic development policies, in monitoring improvement in the quality of life of the population and in establishment of the system of sustainable development. Population and Housing Census data will also provide a sampling frame for intercensal surveys which will be conducted in order to generate policies which will support the implementation process of the Tanzania Development Vision 2025 and the Zanzibar Development Vision 2020as well as social and economic reforms in a decentralized Government framework.
At the planning level, the Population and Housing Census data will play a central role in the formulation of realistic development of people. In the Tanzania situation where the Government is decentralizing its functions to the district level, reliable and up-to-date population and Housing Census data will help district authorities to prepare development plans, which will reflect the aspirations of the people.
Given the Government goals of, one, reducing the proportion of Tanzanians living in absolute poverty by the year 2010, and two, of eradicating absolute poverty by the year 2025, the 2002 population and Housing Census has enabled the Government to get data which will be used to develop poverty status predictors. As such the 2002 population and Housing Census is an important source of data for poverty monitoring activities. Finally, the 2002 population and Housing Census has enabled the Government to get data on population growth and distribution by age, sex and location and their relationship to the resource base i.e. their impact on the environment.
National
Census/enumeration data [cen]
Face-to-face [f2f]
There were two types of census questionnaires namely the long and the short questionnaire. The first eight questions, which appeared in both questionnaires, were name, relation to the head of the household, age, sex, marital status, disability and citizenship.
In addition the long questionnaire included extra questions on the following topics. 1. Survivorship of the parents of the person 2. Migration 3. Education for all persons 5 years and above 4. Economic Activity for all persons 5 year and above 5. Fertility of all women aged 12 years and above 6. Mortality 7. Housing conditions
Overall, the long questionnaire comprised 37 questions. Questionnaires were in Swahili Language.
Census data based on the long questionnaire is subject to sampling errors. Sampling errors of estimates for selected variables were estimated. For the sake of simplicity, sampling errors were calculated by using a formula for linear estimates without taking into account the ratio estimation. The detail for the sampling errors found from page 192 to 193 of the analytical report.
An important indicator of waterbird status on SPAs in the UK.
Wetland Bird Survey data were analysed for all UK SPAs that have non-breeding populations of one or more waterbird species as designating ‘features’. High Alerts are issued where declines in these species exceed 50%, and Medium Alerts are issued where declines are 25-50%.
WeBS Alerts are published every few years to aid monitoring and management of SPAs by Statutory Conservation Agencies.
WeBS is run by the British Trust for Ornithology, RSPB, and the Joint Nature Conservation Committee. The underlying data are collected by thousands of volunteer WeBS surveyors.
This report presents population projections for the period 2003 to 2025 for Iringa Region and its districts. The projections were made using a Cohort Component Method (Spectrum System), whereby three components responsible for population change, namely: mortality, fertility and migration were projected separately as well as HIV/AIDS prevalence. The projected components were then applied to 2002 midyear base population in order to come up with the desired projections from 2003 to 2025. The report gives mortality, fertility, migration and HIV/AIDS assumptions, and shows Iringa’s demographic and socio-economic future trends. The results include estimated population by sex in single years and five-year age groups as well as some demographic indicators. Population growth for the period 2003 to 2025 shows a decrease in growth rates. The projections show that population growth rate will decrease from 1.6 percent in 2003 (with a population of 1,520,891) to 0.4 percent in 2025 (with a population of 2,019,217). Sex Ratio at birth is projected to increase from 90 male births per 100 females in 2003 to 99 male births per 100 females in 2025. Mortality estimates show that Infant Mortality Rate (IMR) is expected to decline for both sexes from 127 deaths per 1,000 live births in 2003 to 78 deaths per 1,000 live births in 2025. Under Five Mortality Rate (U5MR) for both sexes will also decline from 207 deaths per 1,000 live births in 2003 to 122 deaths per 1,000 live births in the year 2025. The mortality projected estimates further show that the life expectancy at birth for both males and females stands at 45 years in 2003. Life expectancy at birth for Iringa will decline from 45 years in 2003 to 44 years in 2025 for both sexes. For male population, life expectancy at birth will remain at the same level of 45 years in year 2003 and year 2025, while for female population the life expectancy at birth will decline from 45 years in 2003 to 43 years in 2025. On fertility, TFR will decline from 4.9 children per woman in 2003 to 2.6 children per woman in 2025.
A compendium of population statistics for Rural and Urban areas in England.
The May 2025 release of this report includes analysis updates for all topics within this theme. Mid-year estimates have been updated, and Census 2021 data have been added based on the new 2021 rural-urban classification.
The supplementary data tables provide additional statistics for each section of the Digest, using the rural-urban classification categories. The Local Authority data tables supply the disaggregated datasets, used to conduct analysis in the Digest, at a Local Authority level where feasible.
Defra statistics: rural
Email mailto:rural.statistics@defra.gov.uk">rural.statistics@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
Copies of the Population Statistics for Rural England publication are available from the National Archive.
https://webarchive.nationalarchives.gov.uk/ukgwa/20230314171327/https://www.gov.uk/government/statistics/population-statistics-for-rural-england" class="govuk-link">Population Statistics for Rural England, 14 March 2023
https://webarchive.nationalarchives.gov.uk/ukgwa/20250318164430/https://www.gov.uk/government/statistics/population-statistics-for-rural-england" class="govuk-link">Population Statistics for Rural England, 18 March 2025
Statistics up to 2022 can be found https://webarchive.nationalarchives.gov.uk/ukgwa/20230208015303/https://www.gov.uk/government/collections/statistical-digest-of-rural-england" class="govuk-link">here.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<ul style='margin-top:20px;'>
<li> urban population for 2022 was <strong>451,064,400</strong>, a <strong>2.39% increase</strong> from 2021.</li>
<li> urban population for 2021 was <strong>440,529,915</strong>, a <strong>3.18% increase</strong> from 2020.</li>
<li> urban population for 2020 was <strong>426,962,576</strong>, a <strong>3.18% increase</strong> from 2019.</li>
</ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<ul style='margin-top:20px;'>
<li> rural population for 2022 was <strong>566,312,869</strong>, a <strong>1.21% increase</strong> from 2021.</li>
<li> rural population for 2021 was <strong>559,554,611</strong>, a <strong>1.54% increase</strong> from 2020.</li>
<li> rural population for 2020 was <strong>551,086,627</strong>, a <strong>1.62% increase</strong> from 2019.</li>
</ul>Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
<ul style='margin-top:20px;'>
<li> rural population for 2022 was <strong>3,214,708,080</strong>, a <strong>0.16% decline</strong> from 2021.</li>
<li> rural population for 2021 was <strong>3,219,714,759</strong>, a <strong>0.02% decline</strong> from 2020.</li>
<li> rural population for 2020 was <strong>3,220,418,208</strong>, a <strong>0.07% increase</strong> from 2019.</li>
</ul>Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Refer to the current geographies boundaries table for a list of all current geographies and recent updates.
This dataset is the definitive version of the annually released meshblock boundaries as at 1 January 2025 as defined by Stats NZ. This version contains 57,551 meshblocks, including 16 with empty or null geometries (non-digitised meshblocks).
Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.
A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is a defined geographic area, which can vary in size from part of a city block to a large area of rural land. The optimal size for a meshblock is 30–60 dwellings (containing approximately 60–120 residents).
Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone (EEZ) and is digitised to the 12-mile limit. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), statistical area 3 (SA3), and urban rural (UR). They are also used to define electoral districts, territorial authorities, and regional councils.
Meshblock boundaries generally follow road centrelines, cadastral property boundaries, or topographical features such as rivers. Expanses of water in the form of lakes and inlets are defined separately from land.
Meshblock maintenance
Meshblock boundaries are amended by:
Splitting – subdividing a meshblock into two or more meshblocks.
Nudging – shifting a boundary to a more appropriate position.
Reasons for meshblock splits and nudges can include:
Meshblock changes are made throughout the year. A major release is made at 1 January each year with ad hoc releases available to users at other times.
While meshblock boundaries are continually under review, 'freezes' on changes to the boundaries are applied periodically. Such 'freezes' are imposed at the time of population censuses and during periods of intense electoral activity, for example, prior and during general and local body elections.
Meshblock numbering
Meshblocks are not named and have seven-digit codes.
When meshblocks are split, each new meshblock is given a new code. The original meshblock codes no longer exist within that version and future versions of the meshblock classification. Meshblock codes do not change when a meshblock boundary is nudged.
Meshblocks that existed prior to 2015 and have not changed are numbered from 0000100 to 3210003. Meshblocks created from 2015 onwards are numbered from 4000000.
Digitised and non-digitised meshblocks
The digital geographic boundaries are defined and maintained by Stats NZ.
Meshblocks cover the land area of New Zealand, the water area to the 12mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, offshore oil rigs, and Ross Dependency. The following 16 meshblocks are not held in digitised form.
Meshblock
Location (statistical area 2 name)
High-definition version
This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.
Macrons
Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.
Digital data
Digital boundary data became freely available on 1 July 2007.
Further information
To download geographic classifications in table formats such as CSV please use Ariā
For more information please refer to the Statistical standard for geographic areas 2023.
Contact: geography@stats.govt.nz
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Refer to the current geographies boundaries table for a list of all current geographies and recent updates.
This dataset is the definitive version of the annually released urban rural (UR) boundaries as at 1 January 2025 as defined by Stats NZ. This version contains 689 UR areas, including 195 urban areas and 402 rural settlements.
Urban rural (UR) is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.
The UR separately identifies urban areas, rural settlements, other rural areas, and water areas. Urban areas and rural settlements are form-based geographies delineated by the inspection of aerial imagery, local government land designations on district plan maps, address registers, property title data, and any other available information. However, because the underlying meshblock pattern is used to define the geographies, boundaries may not align exactly with local government land designations or what can be seen in aerial images. Other rural areas, and bodies of water represent areas not included within an urban area.
Urban areas are built from the statistical area 2 (SA2) geography, while rural and water areas are built from the statistical area 1 (SA1) geography.
Urban areas
Urban areas are statistically defined areas with no administrative or legal basis. They are characterised by high population density with many built environment features where people and buildings are located close together for residential, cultural, productive, trade and social purposes.
Urban areas are delineated using the following criteria. They:
form a contiguous cluster of one or more SA2s,
contain an estimated resident population of more than 1,000 people and usually have a population density of more than 400 residents or 200 address points per square kilometre,
have a high coverage of built physical structures and artificial landscapes such as:
have strong economic ties where people gather together to work, and for social, cultural, and recreational interaction,
have planned development within the next 5–8 years.
Urban boundaries are independent of local government and other administrative boundaries. However, the Richmond urban area, which is mainly in the Tasman District, is the only urban area that crosses territorial authority boundaries
Rural areas
Rural areas are classified as rural settlements or other rural.
Rural settlements
Rural settlements are statistically defined areas with no administrative or legal basis. A rural settlement is a cluster of residential dwellings about a place that usually contains at least one community or public building.
Rural settlements are delineated using the following criteria. They:
form a contiguous cluster of one or more SA1s,
contain an estimated resident population of 200–1,000, or at least 40 residential dwellings,
represent a reasonably compact area or have a visible centre of population with a population density of at least 200 residents per square kilometre or 100 address points per square kilometre,
contain at least one community or public building, such as a church, school, or shop.
To reach the target SA2 population size of more than 1,000 residents, rural settlements are usually included with other rural SA1s to form an SA2. In some instances, the settlement and the SA2 have the same name, for example, Kirwee rural settlement is part of the Kirwee SA2.
Some rural settlements whose populations are just under 1,000 are a single SA2. Creating separate SA2s for these rural settlements allows for easy reclassification to urban areas if their populations grow beyond 1,000.
Other rural
Other rural areas are the mainland areas and islands located outside urban areas or rural settlements. Other rural areas include land used for agriculture and forestry, conservation areas, and regional and national parks. Other rural areas are defined by territorial authority.
Water
Bodies of water are classified separately, using the land/water demarcation classification described in the Statistical standard for meshblock. These water areas are not named and are defined by territorial authority or regional council.
The water classes include:
inland water – non-contiguous, defined by territorial authority,
inlets (which also includes tidal areas and harbours) – non-contiguous, defined by territorial authority,
oceanic – non-contiguous, defined by regional council.
To minimise suppression of population data, separate meshblocks have been created for marinas. These meshblocks are attached to adjacent land in the UR geography.
Non-digitised
The following 4 non-digitised UR areas have been aggregated from the 16 non-digitised meshblocks/SA2s.
6901; Oceanic outside region, 6902; Oceanic oil rigs, 6903; Islands outside region, 6904; Ross Dependency outside region.
UR numbering and naming
Each urban area and rural settlement is a single geographic entity with a name and a numeric code.
Other rural areas, inland water areas, and inlets are defined by territorial authority; oceanic areas are defined by regional council; and each have a name and a numeric code.
Urban rural codes have four digits. North Island locations start with a 1, South Island codes start with a 2, oceanic codes start with a 6 and non-digitised codes start with 69.
Urban rural indicator (IUR)
The accompanying urban rural indicator (IUR) classifies the urban, rural, and water areas by type. Urban areas are further classified by the size of their estimated resident population:
This was based on 2018 Census data and 2021 population estimates. Their IUR status (urban area size/rural settlement) may change if the 2025 Census population count moves them up or down a category.
The indicators, by name, with their codes in brackets, are:
urban area – major urban (11), large urban (12), medium urban (13), small urban (14),
rural area – rural settlement (21), rural other (22),
water – inland water (31), inlet (32), oceanic (33).
High definition version
This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.
Macrons
Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.
Digital data
Digital boundary data became freely available on 1 July 2007.
Further information
To download geographic classifications in table formats such as CSV please use Ariā
For more information please refer to the Statistical standard for geographic areas 2023.
Contact: geography@stats.govt.nz
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Employment-Population Ratio - Black or African American (LNS12300006) from Jan 1972 to May 2025 about employment-population ratio, African-American, 16 years +, household survey, employment, population, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population, female (% of total population) in World was reported at 49.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.