Pakistan PK: Population Projection: Mid Year data was reported at 290,847,790.000 Person in 2050. This records an increase from the previous number of 288,878,950.000 Person for 2049. Pakistan PK: Population Projection: Mid Year data is updated yearly, averaging 152,429,036.000 Person from Jun 1950 (Median) to 2050, with 101 observations. The data reached an all-time high of 290,847,790.000 Person in 2050 and a record low of 40,382,206.000 Person in 1950. Pakistan PK: Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

Chart and table of Pakistan population from 1950 to 2025. United Nations projections are also included through the year 2100.

Pakistan PK: Fertility Rate: per Woman data was reported at 2.010 NA in 2050. This stayed constant from the previous number of 2.010 NA for 2049. Pakistan PK: Fertility Rate: per Woman data is updated yearly, averaging 2.715 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 6.960 NA in 1982 and a record low of 2.010 NA in 2050. Pakistan PK: Fertility Rate: per Woman data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

Ce graphique montre l'âge médian de la population résidente au Pakistan de 1950 à 2050. En 2015, l'âge médian de la population pakistanaise était d'environ 22 ans.

Pakistan PK: Life Expectancy at Birth data was reported at 76.700 Year in 2050. This records an increase from the previous number of 76.500 Year for 2049. Pakistan PK: Life Expectancy at Birth data is updated yearly, averaging 67.550 Year from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 76.700 Year in 2050 and a record low of 52.000 Year in 1981. Pakistan PK: Life Expectancy at Birth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

The median age in Pakistan grew to almost 20 years in 2020, meaning that half of the population was older than that, half younger. This figure was lowest in between 1975 and 2000 but is projected to rise to 37.3 years by 2100. The meaning of age structure Pakistan has one of the largest populations worldwide, and this statistic presents the median age of that group. This suggests that millions of Pakistanis are too young to work and in need of education. At the same time, the rising life expectancy suggests that the median age will shift upward in the future in a way not predicted by the source. This could be due to different interpretations of infant mortality and other factors by differing sources. Economic implications Having a younger workforce can be a challenge for an economy in the short run. If the country can educate the youth, short-term spending can pay off when those youth become more productive workers. This investment can be costly, however, and Pakistan may not be able to finance this spending if its national debt is too high. The success of the youth depends largely on the country’s fiscal priorities, and this success will shape the country’s outcomes in the medium term.

Chart and table of the Pakistan fertility rate from 1950 to 2025. United Nations projections are also included through the year 2100.

Pakistan PK: Migration Rate: per 1000 Inhabitants: Net data was reported at 0.000 NA in 2050. This stayed constant from the previous number of 0.000 NA for 2049. Pakistan PK: Migration Rate: per 1000 Inhabitants: Net data is updated yearly, averaging -0.450 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 7.700 NA in 1981 and a record low of -13.500 NA in 1992. Pakistan PK: Migration Rate: per 1000 Inhabitants: Net data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

This collection contains two datasets: one, data used in TI-City model to predict future urban expansion in Accra, Ghana; and two, residential electricity consumption data used to map intra-urban living standards in Karachi, Pakistan. The TI-City model data are ASCII files of infrastructure and amenities that affect location decisions of households and developers. The residential electricity consumption data consist of average kilowatt hours (kw/h) of electricity consumed per month by ~ 2 million households in Karachi. The electricity consumption data is aggregated into 30m grid cells (count = 193050), with centroids and consumption values provided. The values of the points (centroids), captured under the field "Avg_Avg_Cs", represents the median of average monthly consumption of households within the 30m grid cells.

Our project addresses a critical gap in social research methodology that has important implications for combating urban poverty and promoting sustainable development in low and middle-income countries. Simply put, we're creating a low-cost tool for gathering critical information about urban population dynamics in cities experiencing rapid spatial-demographic and socioeconomic change. Such information is vital to the success of urban planning and development initiatives, as well as disaster relief efforts. By improving the information base of the actors involved in such activities we aim to improve the lives of urban dwellers across the developing world, particularly the poorest and most vulnerable. The key output for the project will be a freely available 'City Sampling Toolkit' that provides detailed instructions and opensource software tools for replicating the approach at various spatial scales.

Our research is motivated by the growing recognition that cities are critical arenas for action in global efforts to tackle poverty and transition towards more environmentally sustainable economic growth. Between now and 2050 the global urban population is projected to grow by over 2 billion, with the overwhelming majority of this growth taking place in low and middle-income countries in Africa and Asia. Developing evidence-based policies for managing this growth is an urgent task. As UN Secretary General Ban Ki Moon has observed: "Cities are increasingly the home of humanity. They are central to climate action, global prosperity, peace and human rights...To transform our world, we must transform its cities."

Unfortunately, even basic data about urban populations are lacking in many of the fastest growing cities of the world. Existing methods for gathering vital information, including censuses and sample surveys, have critical limitations in urban areas experiencing rapid change. And 'big data' approaches are not an adequate substitute for representative population data when it comes to urban planning and policymaking. We will overcome these limitations through a combination of conceptual innovation and creative integration of novel tools and techniques that have been developed for sampling, surveying and estimating the characteristics of populations that are difficult to enumerate. This, in turn, will help us capture the large (and sometimes uniquely vulnerable) 'hidden populations' in cities missed by traditional approaches.

By using freely available satellite imagery, we can get an idea of the current shape of a rapidly changing city and create a 'sampling frame' from which we then identify respondents for our survey. Importantly, and in contrast with previous approaches, we aren't simply going to count official city residents. We are interested in understanding the characteristics of the actually present population, including recent migrants, temporary residents, and those living in informal or illegal settlements, who are often not considered formal residents in official enumeration exercises. In other words, our 'inclusion criterion' for the survey exercise is presence not residence. By adopting this approach, we hope to capture a more accurate picture of city populations. We will also limit the length of our survey questionnaire to maximise responses and then use novel statistical techniques to reconstruct a rich statistical portrait that reflects a wide range of demographic and socioeconomic information.

We will pilot our methodology in a city in Pakistan, which recently completed a national census exercise that has generated some controversy with regard to the accuracy of urban population counts. To our knowledge this would be the first project ever to pilot and validate a new sampling and survey methodology at the city scale in a developing country.

Pakistans Gesamtbevölkerung erreicht im Jahr 2023 geschätzt rund 247,5 Millionen Einwohner. Binnen eines Jahres hat sich die Einwohnerzahl Pakistans erneut um rund 3,8 Millionen Menschen erhöht und sich weiterhin um rund zwei Prozent jährlich, wenngleich sich die positive Bevölkerungsentwicklung von Pakistan seit 2009 verlangsamt. Für das Jahr 2024 wird eine Gesamtbevölkerung Pakistans von rund 251,3 Millionen Menschen prognostiziert. Die hohe Fertilitätsrate von Pakistan von rund 3,5 Kindern je Frau ist ausschlaggebend für das starke Bevölkerungswachstum. Wann hat Pakistan 300 Millionen Einwohner? Bereits jetzt ist Pakistan eines der bevölkerungsreichsten Länder der Welt (Platz 5) und diese Platzierung wird das Land wohl auch mittelfristig nicht einbüßen. Langfristige Bevölkerungsprognosen sind zwar aufgrund der Komplexität stets mit Vorsicht zu betrachten, aber auch in einer moderaten Berechnungsvariante, die eine sich leicht verringernde Fertilitätsrate voraussetzt, würde Pakistan in der Rangliste der Länder mit der größten Bevölkerung in der Zukunft noch vor dem Jahr 2050 die 300-Millionen-Einwohner-Marke erreichen. Natürliche Bevölkerungsentwicklung oder Migration? Grundsätzlich kann bei der Bevölkerungsentwicklung zwischen dem natürlichen Bevölkerungswachstum und der Zuwachsrate (allgemeines Bevölkerungswachstum) unterschieden werden:natürliches Bevölkerungswachstum

Das natürliche Bevölkerungswachstum ergibt sich aus der Verrechnung von Geburten und Todesfällen.

Zuwachsrate

Bei der Zuwachsrate wird das natürliche Bevölkerungswachstum mit dem Migrationssaldo, also dem Saldo aus Immigration (Einwanderung) und Emigration (Auswanderung) verrechnet.

Zusammenhang

Industrieländer benötigen im Allgemeinen eine Geburtenrate (Fertilitätsrate) von durchschnittlich 2,1 Kindern je Frau, um den Bestand der Population konstant zu halten (Bestandserhaltungsniveau). Für ein positives Bevölkerungswachstum wird dementsprechend eine höhere Geburtenrate oder ein positiver Migrationssaldo benötigt.

Socio-demographic characteristics of elderly (≥60 years) in Karachi, Pakistan.

Pakistan PK: Mortality Rate: Under 5 per 1000 Births data was reported at 19.900 NA in 2050. This records a decrease from the previous number of 20.600 NA for 2049. Pakistan PK: Mortality Rate: Under 5 per 1000 Births data is updated yearly, averaging 71.900 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 209.700 NA in 1981 and a record low of 19.900 NA in 2050. Pakistan PK: Mortality Rate: Under 5 per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

Pakistan PK: Mortality Rate: Infant per 1000 Births data was reported at 16.400 NA in 2050. This records a decrease from the previous number of 17.000 NA for 2049. Pakistan PK: Mortality Rate: Infant per 1000 Births data is updated yearly, averaging 54.800 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 128.900 NA in 1981 and a record low of 16.400 NA in 2050. Pakistan PK: Mortality Rate: Infant per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

With almost all major religions being practiced throughout the country, India is known for its religious diversity. Islam makes up the highest share among minority faiths in the country. According to the Indian census of 2011, the Muslim population in Uttar Pradesh more than 35 million, making it the state with the most Muslims.

Socio-economic conditions of Muslims
Muslims seem to lag behind every other religious community in India in terms of living standards, financial stability, education and other aspects, thereby showing poor performance in most of the fields. According to a national survey, 17 percent of the Muslims were categorized under the lowest wealth index, which indicates poor socio-economic conditions.

Growth of Muslim population in India
Islam is one of the fastest-growing religions worldwide. According to India’s census, the Muslim population has witnessed a negative decadal growth of more than 16 percent from 1951 to 1960, presumably due to the partitions forming Pakistan and Bangladesh. The population showed a positive and steady growth since 1961, making up 14 percent of the total population of India . Even though people following Islam were estimated to grow significantly, they would still remain a minority in India compared to 1.3 billion Hindus by 2050.

Pakistan PK: Number of Deaths data was reported at 2,094,104.000 Person in 2050. This records an increase from the previous number of 2,053,929.000 Person for 2049. Pakistan PK: Number of Deaths data is updated yearly, averaging 1,430,560.000 Person from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 2,094,104.000 Person in 2050 and a record low of 1,290,827.000 Person in 2014. Pakistan PK: Number of Deaths data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

Pakistan PK: Number of Births data was reported at 4,039,876.000 Person in 2050. This records a decrease from the previous number of 4,044,305.000 Person for 2049. Pakistan PK: Number of Births data is updated yearly, averaging 4,445,852.500 Person from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 5,216,510.000 Person in 1997 and a record low of 4,011,091.000 Person in 1981. Pakistan PK: Number of Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

"Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.This dataset includes demographic data of 22 countries from 1960 to 2018, including Sri Lanka, Bangladesh, Pakistan, India, Maldives, etc. Data fields include: country, year, population ratio, male ratio, female ratio, population density (km). Source: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Reprot ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. Periodicity: Annual Statistical Concept and Methodology: Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Population projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant."

Pakistan PK: Crude Death Rate: per 1000 Persons data was reported at 7.200 NA in 2050. This records an increase from the previous number of 7.100 NA for 2049. Pakistan PK: Crude Death Rate: per 1000 Persons data is updated yearly, averaging 6.850 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 15.700 NA in 1981 and a record low of 6.000 NA in 2033. Pakistan PK: Crude Death Rate: per 1000 Persons data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

PK：UCB Projection：人口：中年人口在06-01-2050达290,847,790.000人，相较于06-01-2049的288,878,950.000人有所增长。PK：UCB Projection：人口：中年人口数据按年更新，06-01-1950至06-01-2050期间平均值为152,429,036.000人，共101份观测结果。该数据的历史最高值出现于06-01-2050，达290,847,790.000人，而历史最低值则出现于06-01-1950，为40,382,206.000人。CEIC提供的PK：UCB Projection：人口：中年人口数据处于定期更新的状态，数据来源于US Census Bureau，数据归类于Global Database的巴基斯坦 – 表 PK.美国人口普查局：人口统计预测。