13 datasets found
  1. P

    Population pyramid for Papua New Guinea

    • pacificdata.org
    • pacific-data.sprep.org
    csv
    Updated Apr 2, 2025
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    SPC (2025). Population pyramid for Papua New Guinea [Dataset]. https://pacificdata.org/data/dataset/population-pyramid-for-papua-new-guinea-dv-pop-pyramid-pg
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    csvAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    SPC
    Area covered
    Papua New Guinea
    Description

    This is a subset of Population projections

    Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

  2. P

    Population pyramid for Northern Mariana Islands

    • pacificdata.org
    • pacific-data.sprep.org
    csv, pdf
    Updated Apr 2, 2025
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    SPC (2025). Population pyramid for Northern Mariana Islands [Dataset]. https://pacificdata.org/data/dataset/population-pyramid-for-northern-mariana-islands-dv-pop-pyramid-mp
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    csv, pdfAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    SPC
    Area covered
    Northern Mariana Islands
    Description

    This is a subset of Population projections

    Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

  3. Population distribution by five-year age group in China 2023

    • statista.com
    Updated Nov 30, 2024
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    Statista (2024). Population distribution by five-year age group in China 2023 [Dataset]. https://www.statista.com/statistics/1101677/population-distribution-by-detailed-age-group-in-china/
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    Dataset updated
    Nov 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.

  4. Population of Spain over 65 years 2002-2024

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Population of Spain over 65 years 2002-2024 [Dataset]. https://www.statista.com/statistics/1231682/population-of-spain-over-65-year/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    As of January 2024, the population aged over 65 years in Spain amounted to 9.93 million people, thus continuing the upward trend witnessed in previous years. Between 2002 and 2024, the elderly population increased by almost three million. According to recent data, people aged over 65 years represent nearly a fifth of the Spanish population. Ageism, a growing concern As it is happening in most advanced economies, the Spanish population is getting older. The Mediterranean country featured a median age of 43.5 years in 2020, and it is forecast to reach 51.8 years in 2050. Life expectancy and the fertility rate are experiencing opposite trends, and while the former keeps improving, the latter continue to decrease. As a result, the Spanish population pyramid is turning into the contracting type, which has worrying social and economic consequences. Poverty among seniors The average amount of a retirement pension in the country is just over 1,374 euros a month, though this figure depends on the scheme and place of residence. There were almost one million persons receiving a monthly retirement pension which amounted to 600 euros or less in 2023. This scarce allowance can be insufficient to provide a good quality of life. Most recent data shows that over 18 percent of those aged 65 or older were at risk of poverty, an extremely high rate even though this was one of the age groups that featured the lowest risk of poverty. On average, 39 percent of the spending among this age group is channeled towards housing, water, electricity and fuels, which leaves little room for spending on other items (food, dress, services, etc.) for those millions of people whose retirement pension is not even close to the national minimum wage. For more data on this topic, check Statista's report on Seniors in Spain.

  5. d

    Anaho Island National Wildlife Refuge : Population Estimates of Colonial...

    • datadiscoverystudio.org
    Updated Jun 8, 1986
    + more versions
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    (1986). Anaho Island National Wildlife Refuge : Population Estimates of Colonial Birds : 1986 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cf6af92b55bf486d8d5ff08647ea8172/html
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    Dataset updated
    Jun 8, 1986
    Area covered
    Anaho Island
    Description

    This memorandum discusses the results of population estimates for Anaho Island National Wildlife Refuge within the Stillwater Wildlife Management Area. The report first gives an introduction to Anaho Island, followed by methods for obtaining population counts. Next are the results of the study and bird count numbers. Other bird sightings are included as well as aerial photographs displaying the locations of nesting colonies. American White Pelican, Doublecrested Cormorant, Great Blue Heron, California Gull, and Blackcrowned Night Heron are species discussed.

  6. w

    National Demographic and Health Survey 2022 - Philippines

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jun 7, 2023
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    Philippine Statistics Authority (PSA) (2023). National Demographic and Health Survey 2022 - Philippines [Dataset]. https://microdata.worldbank.org/index.php/catalog/5846
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    Dataset updated
    Jun 7, 2023
    Dataset authored and provided by
    Philippine Statistics Authority (PSA)
    Time period covered
    2022
    Area covered
    Philippines
    Description

    Abstract

    The 2022 Philippines National Demographic and Health Survey (NDHS) was implemented by the Philippine Statistics Authority (PSA). Data collection took place from May 2 to June 22, 2022.

    The primary objective of the 2022 NDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the NDHS collected information on fertility, fertility preferences, family planning practices, childhood mortality, maternal and child health, nutrition, knowledge and attitudes regarding HIV/AIDS, violence against women, child discipline, early childhood development, and other health issues.

    The information collected through the NDHS is intended to assist policymakers and program managers in designing and evaluating programs and strategies for improving the health of the country’s population. The 2022 NDHS also provides indicators anchored to the attainment of the Sustainable Development Goals (SDGs) and the new Philippine Development Plan for 2023 to 2028.

    Geographic coverage

    National coverage

    Analysis unit

    • Household
    • Individual
    • Children age 0-5
    • Woman age 15-49

    Universe

    The survey covered all de jure household members (usual residents), all women aged 15-49, and all children aged 0-4 resident in the household.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sampling scheme provides data representative of the country as a whole, for urban and rural areas separately, and for each of the country’s administrative regions. The sample selection methodology for the 2022 NDHS was based on a two-stage stratified sample design using the Master Sample Frame (MSF) designed and compiled by the PSA. The MSF was constructed based on the listing of households from the 2010 Census of Population and Housing and updated based on the listing of households from the 2015 Census of Population. The first stage involved a systematic selection of 1,247 primary sampling units (PSUs) distributed by province or HUC. A PSU can be a barangay, a portion of a large barangay, or two or more adjacent small barangays.

    In the second stage, an equal take of either 22 or 29 sample housing units were selected from each sampled PSU using systematic random sampling. In situations where a housing unit contained one to three households, all households were interviewed. In the rare situation where a housing unit contained more than three households, no more than three households were interviewed. The survey interviewers were instructed to interview only the preselected housing units. No replacements and no changes of the preselected housing units were allowed in the implementing stage in order to prevent bias. Survey weights were calculated, added to the data file, and applied so that weighted results are representative estimates of indicators at the regional and national levels.

    All women age 15–49 who were either usual residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed. Among women eligible for an individual interview, one woman per household was selected for a module on women’s safety.

    For further details on sample design, see APPENDIX A of the final report.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    Two questionnaires were used for the 2022 NDHS: the Household Questionnaire and the Woman’s Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to the Philippines. Input was solicited from various stakeholders representing government agencies, academe, and international agencies. The survey protocol was reviewed by the ICF Institutional Review Board.

    After all questionnaires were finalized in English, they were translated into six major languages: Tagalog, Cebuano, Ilocano, Bikol, Hiligaynon, and Waray. The Household and Woman’s Questionnaires were programmed into tablet computers to allow for computer-assisted personal interviewing (CAPI) for data collection purposes, with the capability to choose any of the languages for each questionnaire.

    Cleaning operations

    Processing the 2022 NDHS data began almost as soon as fieldwork started, and data security procedures were in place in accordance with confidentiality of information as provided by Philippine laws. As data collection was completed in each PSU or cluster, all electronic data files were transferred securely via SyncCloud to a server maintained by the PSA Central Office in Quezon City. These data files were registered and checked for inconsistencies, incompleteness, and outliers. The field teams were alerted to any inconsistencies and errors while still in the area of assignment. Timely generation of field check tables allowed for effective monitoring of fieldwork, including tracking questionnaire completion rates. Only the field teams, project managers, and NDHS supervisors in the provincial, regional, and central offices were given access to the CAPI system and the SyncCloud server.

    A team of secondary editors in the PSA Central Office carried out secondary editing, which involved resolving inconsistencies and recoding “other” responses; the former was conducted during data collection, and the latter was conducted following the completion of the fieldwork. Data editing was performed using the CSPro software package. The secondary editing of the data was completed in August 2022. The final cleaning of the data set was carried out by data processing specialists from The DHS Program in September 2022.

    Response rate

    A total of 35,470 households were selected for the 2022 NDHS sample, of which 30,621 were found to be occupied. Of the occupied households, 30,372 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 28,379 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 27,821 women, yielding a response rate of 98%.

    Sampling error estimates

    The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and in data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2022 Philippines National Demographic and Health Survey (2022 NDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

    Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2022 NDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

    A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

    If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2022 NDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS using programs developed by ICF. These programs use the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

    A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

    Data appraisal

    Data Quality Tables

    • Household age distribution
    • Age distribution of eligible and interviewed women
    • Age displacement at age 14/15
    • Age displacement at age 49/50
    • Pregnancy outcomes by years preceding the survey
    • Completeness of reporting
    • Observation of handwashing facility
    • School attendance by single year of age
    • Vaccination cards photographed
    • Population pyramid
    • Five-year mortality rates

    See details of the data quality tables in Appendix C of the final report.

  7. Age distribution in Japan 2013-2023

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Age distribution in Japan 2013-2023 [Dataset]. https://www.statista.com/statistics/270087/age-distribution-in-japan/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    Over the last decade, Japan’s population has aged more and more, to the point where more than a quarter of Japanese were 65 years and older in 2022. Population growth has stopped and even reversed, since it’s been in the red for several years now.

    It’s getting old

    With almost 30 percent of its population being elderly inhabitants, Japan is considered the “oldest” country in the world today. Japan boasts a high life expectancy, in fact, the Japanese tend to live longer than the average human worldwide. The increase of the aging population is accompanied by a decrease of the total population caused by a sinking birth rate. Japan’s fertility rate has been below the replacement rate for many decades now, mostly due to economic uncertainty and thus a decreasing number of marriages.

    Are the Japanese invincible?

    There is no real mystery surrounding the ripe old age of so many Japanese. Their high average age is very likely due to high healthcare standards, nutrition, and an overall high standard of living – all of which could be adopted by other industrial nations as well. But with high age comes less capacity, and Japan’s future enemy might not be an early death, but rather a struggling social network.

  8. Age structure in Saudi Arabia 2023

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Age structure in Saudi Arabia 2023 [Dataset]. https://www.statista.com/statistics/262478/age-structure-in-saudi-arabia/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Saudi Arabia
    Description

    This statistic shows the age structure in Saudi Arabia from 2013 to 2023. In 2023, approximately 24.1 percent of Saudi Arabia's population were aged between 0 and 14 years, about 73.08 percent were aged between 15 and 64 years, and about 2.82 percent were aged between 65 years.

  9. i

    Population and Housing Census 2010 - Zambia

    • catalog.ihsn.org
    Updated Mar 29, 2019
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    Central Statistical Office (2019). Population and Housing Census 2010 - Zambia [Dataset]. https://catalog.ihsn.org/index.php/catalog/4124
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Central Statistical Office
    Time period covered
    2010
    Area covered
    Zambia
    Description

    Abstract

    The main objectives of the 2010 Census of Population and Housing were: • To provide accurate and reliable information on the size, composition and distribution of the population of Zambia at the time of the census; • To provide information on the demographic and socioeconomic characteristics of the population of Zambia at the lowest administrative level - the ward; • To provide indicators for measuring progress towards national and international development goals in a timely and user friendly manner; • To provide information on the number and characteristics of households engaged in agriculture and other economic activities; • To provide an accurate sampling frame and sample weights for future inter-censal household and population based surveys; • To provide information identifying the number of eligible voters for the 2011 General Elections; • To provide a census that meets national and international standards and allows for comparability with other censuses; • To provide information on the housing characteristics of the population.

    Universe

    Census Enumerators went out visiting all buildings in Zambia whether completed, incomplete, abandoned, habitable and inhabitable for the purpose of identifying characteristics of all buildings, households and other human aspects. All persons who lived in the buildings were counted and detailed information pertaining to their characteristics obtained.

    Sampling procedure

    The Census mapping methodology in 2010 was Geographic Information System (GIS) driven with the use of Satellite Imagery in urban areas and Global Positioning System (GPS) in rural areas.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 2010 Census used a single questionnaire to capture individual, household and housing characteristics from the population. The 2010 Census differs from the 2000 Census by including questions on deaths of Household Members during the 12 months period prior to the census enumeration, as well as cause of death for all reported deaths.

    Included for the first time were questions on maternal deaths to women aged 12-49 years during the reference period (12 months prior to the Census). Questions were asked of female household members aged 12-49 years that were reported to have died during the reference period (12 months prior to the census), whether the death had occurred while the woman was pregnant, during childbirth or six weeks after the end of a pregnancy, regardless of the outcome of the pregnancy. Another new addition was the question on whether one was an Albino or not.

    Cleaning operations

    In April 2011, the Central Statistical Office started the data capture and processing of the 2010 Census questionnaires. Scanning of the 2010 Census questionnaires started in April 2011 and was successfully concluded in August 2011. The data capture used Optical Mark Reading (OMR) and Intelligent Character Recognition (ICR) technology in order to speed up the processing time. Data verification and development of edit and imputation specifications and programmes started in May and was completed in November 2011.

    Data appraisal

    Methods of evaluation applied were:

    • Direct Method: Post Enumeration Survey (PES)- a sample of households is revisited after the census and data are again collected but on a smaller scale and later compared with that collected during the actual census. • Indirect Method: Comparison of data using both internal and external consistency checks. Internal consistency checks compare relationships of data within the same census data, whereas external consistency checks compare census data with data generated from other sources.

    Coverage errors: • Omission or duplication of individuals, households, or housing units resulting in under or over enumeration. • Lack of accessibility or cooperation with respondents. • Lack of proper boundary descriptions on maps. Coverage errors can be measured by examining certain statistics such as growth rate, age composition, child woman ratio and dependency ratio.

    Content errors: Content errors refer to instances where characteristics such as age, sex, marital status, economic activity, etc. of a person enumerated in a census or survey are incorrectly reported or tabulated. • Content errors are caused by either a respondent giving a wrong response or by an enumerator recording an incorrect response. • 2010 census errors were estimated by the use of the Myers' Index, Sex Ratios, Age Ratios and Population Pyramids.

    For findings, please refer to the presentation on census data evaluation provided as external resources.

  10. Population of Germany 1800-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of Germany 1800-2020 [Dataset]. https://www.statista.com/statistics/1066918/population-germany-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 1800, the region of Germany was not a single, unified nation, but a collection of decentralized, independent states, bound together as part of the Holy Roman Empire. This empire was dissolved, however, in 1806, during the Revolutionary and Napoleonic eras in Europe, and the German Confederation was established in 1815. Napoleonic reforms led to the abolition of serfdom, extension of voting rights to property-owners, and an overall increase in living standards. The population grew throughout the remainder of the century, as improvements in sanitation and medicine (namely, mandatory vaccination policies) saw child mortality rates fall in later decades. As Germany industrialized and the economy grew, so too did the argument for nationhood; calls for pan-Germanism (the unification of all German-speaking lands) grew more popular among the lower classes in the mid-1800s, especially following the revolutions of 1948-49. In contrast, industrialization and poor harvests also saw high unemployment in rural regions, which led to waves of mass migration, particularly to the U.S.. In 1886, the Austro-Prussian War united northern Germany under a new Confederation, while the remaining German states (excluding Austria and Switzerland) joined following the Franco-Prussian War in 1871; this established the German Empire, under the Prussian leadership of Emperor Wilhelm I and Chancellor Otto von Bismarck. 1871 to 1945 - Unification to the Second World War The first decades of unification saw Germany rise to become one of Europe's strongest and most advanced nations, and challenge other world powers on an international scale, establishing colonies in Africa and the Pacific. These endeavors were cut short, however, when the Austro-Hungarian heir apparent was assassinated in Sarajevo; Germany promised a "blank check" of support for Austria's retaliation, who subsequently declared war on Serbia and set the First World War in motion. Viewed as the strongest of the Central Powers, Germany mobilized over 11 million men throughout the war, and its army fought in all theaters. As the war progressed, both the military and civilian populations grew increasingly weakened due to malnutrition, as Germany's resources became stretched. By the war's end in 1918, Germany suffered over 2 million civilian and military deaths due to conflict, and several hundred thousand more during the accompanying influenza pandemic. Mass displacement and the restructuring of Europe's borders through the Treaty of Versailles saw the population drop by several million more.

    Reparations and economic mismanagement also financially crippled Germany and led to bitter indignation among many Germans in the interwar period; something that was exploited by Adolf Hitler on his rise to power. Reckless printing of money caused hyperinflation in 1923, when the currency became so worthless that basic items were priced at trillions of Marks; the introduction of the Rentenmark then stabilized the economy before the Great Depression of 1929 sent it back into dramatic decline. When Hitler became Chancellor of Germany in 1933, the Nazi government disregarded the Treaty of Versailles' restrictions and Germany rose once more to become an emerging superpower. Hitler's desire for territorial expansion into eastern Europe and the creation of an ethnically-homogenous German empire then led to the invasion of Poland in 1939, which is considered the beginning of the Second World War in Europe. Again, almost every aspect of German life contributed to the war effort, and more than 13 million men were mobilized. After six years of war, and over seven million German deaths, the Axis powers were defeated and Germany was divided into four zones administered by France, the Soviet Union, the UK, and the U.S.. Mass displacement, shifting borders, and the relocation of peoples based on ethnicity also greatly affected the population during this time. 1945 to 2020 - Partition and Reunification In the late 1940s, cold war tensions led to two distinct states emerging in Germany; the Soviet-controlled east became the communist German Democratic Republic (DDR), and the three western zones merged to form the democratic Federal Republic of Germany. Additionally, Berlin was split in a similar fashion, although its location deep inside DDR territory created series of problems and opportunities for the those on either side. Life quickly changed depending on which side of the border one lived. Within a decade, rapid economic recovery saw West Germany become western Europe's strongest economy and a key international player. In the east, living standards were much lower, although unemployment was almost non-existent; internationally, East Germany was the strongest economy in the Eastern Bloc (after the USSR), though it eventually fell behind the West by the 1970s. The restriction of movement between the two states also led to labor shortages in t...

  11. Age distribution of the population in Nigeria 2024, by gender

    • statista.com
    • ai-chatbox.pro
    Updated Jun 5, 2025
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    Statista (2025). Age distribution of the population in Nigeria 2024, by gender [Dataset]. https://www.statista.com/statistics/1121317/age-distribution-of-population-in-nigeria-by-gender/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Nigeria
    Description

    Nigeria's population structure reveals a youthful demographic, with those aged **** years comprising the largest age group compared to the total of those between the ages of 30 and 84 years. The majority of the young population are men. This demographic trend has significant implications for Nigeria's future, particularly in terms of economic development and social services. It has the potential to offer a large future workforce that could drive economic growth if it is adequately educated and employed. However, without sufficient investment in health, education, and job creation, this youth bulge could strain public resources and fuel unemployment and social unrest. Poverty challenges amid population growth Despite Nigeria's large youth population, the country faces substantial poverty challenges. This is largely due to its youth unemployment rate, which goes contrary to the expectation that the country’s large labor force would contribute to employment and the economic development of the nation. In 2022, an estimated **** million Nigerians lived in extreme poverty, defined as living on less than **** U.S. dollars a day. This number is expected to rise in the coming years, indicating a growing disparity between population growth and economic opportunities. The situation is particularly dire in rural areas, where **** million people live in extreme poverty compared to *** million in urban centers. Linguistic and ethnic diversity Nigeria's population is characterized by significant linguistic and ethnic diversity. Hausa is the most commonly spoken language at home, used by ** percent of the population, followed by Yoruba at ** percent and Igbo at ** percent. This linguistic variety reflects Nigeria's complex ethnic composition, with major groups including Hausa, Yoruba, Igbo, and Fulani. English, the country's official language, serves as the primary language of instruction in schools, promoting literacy across diverse communities.

  12. Population of the UK 1871-2023

    • statista.com
    • ai-chatbox.pro
    Updated Oct 8, 2024
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    Statista (2024). Population of the UK 1871-2023 [Dataset]. https://www.statista.com/statistics/281296/uk-population/
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    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2023, the population of the United Kingdom reached 68.3 million, compared with 67.6 million in 2022. The UK population has more than doubled since 1871 when just under 31.5 million lived in the UK and has grown by around 8.2 million since the start of the twenty-first century. For most of the twentieth century, the UK population steadily increased, with two noticeable drops in population occurring during World War One (1914-1918) and in World War Two (1939-1945). Demographic trends in postwar Britain After World War Two, Britain and many other countries in the Western world experienced a 'baby boom,' with a postwar peak of 1.02 million live births in 1947. Although the number of births fell between 1948 and 1955, they increased again between the mid-1950s and mid-1960s, with more than one million people born in 1964. Since 1964, however, the UK birth rate has fallen from 18.8 births per 1,000 people to a low of just 10.2 in 2020. As a result, the UK population has gotten significantly older, with the country's median age increasing from 37.9 years in 2001 to 40.7 years in 2022. What are the most populated areas of the UK? The vast majority of people in the UK live in England, which had a population of 57.7 million people in 2023. By comparison, Scotland, Wales, and Northern Ireland had populations of 5.44 million, 3.13 million, and 1.9 million, respectively. Within England, South East England had the largest population, at over 9.38 million, followed by the UK's vast capital city of London, at 8.8 million. London is far larger than any other UK city in terms of urban agglomeration, with just four other cities; Manchester, Birmingham, Leeds, and Glasgow, boasting populations that exceed one million people.

  13. Age distribution in India 2013-2023

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Age distribution in India 2013-2023 [Dataset]. https://www.statista.com/statistics/271315/age-distribution-in-india/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic depicts the age distribution of India from 2013 to 2023. In 2023, about 25.06 percent of the Indian population fell into the 0-14 year category, 68.02 percent into the 15-64 age group and 6.92 percent were over 65 years of age. Age distribution in India India is one of the largest countries in the world and its population is constantly increasing. India’s society is categorized into a hierarchically organized caste system, encompassing certain rights and values for each caste. Indians are born into a caste, and those belonging to a lower echelon often face discrimination and hardship. The median age (which means that one half of the population is younger and the other one is older) of India’s population has been increasing constantly after a slump in the 1970s, and is expected to increase further over the next few years. However, in international comparison, it is fairly low; in other countries the average inhabitant is about 20 years older. But India seems to be on the rise, not only is it a member of the BRIC states – an association of emerging economies, the other members being Brazil, Russia and China –, life expectancy of Indians has also increased significantly over the past decade, which is an indicator of access to better health care and nutrition. Gender equality is still non-existant in India, even though most Indians believe that the quality of life is about equal for men and women in their country. India is patriarchal and women still often face forced marriages, domestic violence, dowry killings or rape. As of late, India has come to be considered one of the least safe places for women worldwide. Additionally, infanticide and selective abortion of female fetuses attribute to the inequality of women in India. It is believed that this has led to the fact that the vast majority of Indian children aged 0 to 6 years are male.

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SPC (2025). Population pyramid for Papua New Guinea [Dataset]. https://pacificdata.org/data/dataset/population-pyramid-for-papua-new-guinea-dv-pop-pyramid-pg

Population pyramid for Papua New Guinea

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Dataset updated
Apr 2, 2025
Dataset provided by
SPC
Area covered
Papua New Guinea
Description

This is a subset of Population projections

Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

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