According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

According to the 2021 Census, 81.7% of the population of England and Wales was white, 9.3% Asian, 4.0% black, 2.9% mixed and 2.1% from other ethnic groups.

Nigeria has the largest population in Africa. As of 2025, the country counted over 237.5 million individuals, whereas Ethiopia, which ranked second, has around 135.5 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 118.4 million people. In terms of inhabitants per square kilometer, Nigeria only ranked seventh, while Mauritius had the highest population density on the whole African continent in 2023. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Chad, South Sudan, Somalia, and the Central African Republic, the population increase peaks at over 3.4 percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. African cities are also growing at large rates. Indeed, the continent has three megacities and is expected to add four more by 2050. Furthermore, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria, by 2035.

The Africa Population Distribution Database provides decadal population density data for African administrative units for the period 1960-1990. The databsae was prepared for the United Nations Environment Programme / Global Resource Information Database (UNEP/GRID) project as part of an ongoing effort to improve global, spatially referenced demographic data holdings. The database is useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change.

This documentation describes the third version of a database of administrative units and associated population density data for Africa. The first version was compiled for UNEP's Global Desertification Atlas (UNEP, 1997; Deichmann and Eklundh, 1991), while the second version represented an update and expansion of this first product (Deichmann, 1994; WRI, 1995). The current work is also related to National Center for Geographic Information and Analysis (NCGIA) activities to produce a global database of subnational population estimates (Tobler et al., 1995), and an improved database for the Asian continent (Deichmann, 1996). The new version for Africa provides considerably more detail: more than 4700 administrative units, compared to about 800 in the first and 2200 in the second version. In addition, for each of these units a population estimate was compiled for 1960, 70, 80 and 90 which provides an indication of past population dynamics in Africa. Forthcoming are population count data files as download options.

African population density data were compiled from a large number of heterogeneous sources, including official government censuses and estimates/projections derived from yearbooks, gazetteers, area handbooks, and other country studies. The political boundaries template (PONET) of the Digital Chart of the World (DCW) was used delineate national boundaries and coastlines for African countries.

For more information on African population density and administrative boundary data sets, see metadata files at [http://na.unep.net/datasets/datalist.php3] which provide information on file identification, format, spatial data organization, distribution, and metadata reference.

References:

Deichmann, U. 1994. A medium resolution population database for Africa, Database documentation and digital database, National Center for Geographic Information and Analysis, University of California, Santa Barbara.

Deichmann, U. and L. Eklundh. 1991. Global digital datasets for land degradation studies: A GIS approach, GRID Case Study Series No. 4, Global Resource Information Database, United Nations Environment Programme, Nairobi.

UNEP. 1997. World Atlas of Desertification, 2nd Ed., United Nations Environment Programme, Edward Arnold Publishers, London.

WRI. 1995. Africa data sampler, Digital database and documentation, World Resources Institute, Washington, D.C.

According to the 2021 Census, there were 30.4 million (51.0%) women and girls and 29.2 million (49.0%) men and boys in England and Wales.

Middlesbrough’s current population was estimated to be 140,398 in 2016 by the Office of National Statistics (Mid-year population estimates 2016). With a total area of 5,387 hectares, Middlesbrough is the smallest and second most densely-populated local authority area in the north east. Significant changes in the population demographics of Middlesbrough since the 2001 Census highlight an increasingly diverse and ageing population in the town.Age[1]Middlesbrough has a younger population than both the national and regional averages, however there has been significant growth in the ageing population since Census 2001.20.58% of Middlesbrough’s resident population are Children and Young People aged 0 to 15 years. This is higher than the England rate of 19.05% and the north east rate of 17.74%.63.56% are ‘working age’ between 16 and 64 years. This is higher than both the England rate of 63.07% and the north east rate of 63.01%.15.90% are ‘older people’ aged over 65 years. This is lower than both the England rate of 17.88% and the north east rate of 19.25%.Gender [2]50.85% of Middlesbrough’s population were estimated to be female. This is in line with both the England rate of 50.60% and the north east rate of 50.92%49.15% of Middlesbrough’s population were estimated to be male. This is in line with the England rate of 49.40% and the north east rate of 49.08%.Women in Middlesbrough live longer than men, with 17.62% of women are aged over 65 years. This is lower than both the England rate of 19.75% and the north east rate of 21.43%The gender breakdown of Council employment figures is 70.57% women and 29.42% men. This is not reflective of the wider labour market figures of 47% and 53% respectively[3] though it is broadly comparable with the employment levels in other local authorities.[4]Sexual Orientation[5]Office for National Statistics has estimated that 94.6% of Middlesbrough’s population identify as heterosexual or straight, with 1.2% identifying as gay or lesbian, 0.4% identify as bisexual, as a result of the Annual Population Survey 2016. This is higher than the north east region and England.Ethnic Diversity[6]Middlesbrough is the most ethnically diverse local authority area in the Tees Valley, with a British Minority Ethnic population of 11.7% identified at Census 2011, an increase of 86% since 2001 and which is projected to grow further.88.18% of Middlesbrough’s resident population were classed as White (with various sub-groups) this was lower than the north east rate of 93.63% but higher than the England rate of 79.75%. Middlesbrough is the second most ethnically diverse local authority in the north east, behind Newcastle upon Tyne with 81.92% classed as White.7.78% were classed as Asian/Asian British (with sub-groups), this is higher than the north east rate of 2.87% but slightly lower albeit in lien with the England rate of 7.82%. Again, Middlesbrough is only behind Newcastle upon Tyne on this measure (9.67%), however has the highest percentage in the Tees Valley.1.71% of the population were identified as Mixed/Multiple ethnic groups (with sub-groups), this was higher than the north east rate of 0.86% but slower than the national rate of 2.25%. Middlesbrough had the highest percentage of this group in the north east.1.25% of the population were identified as Black/Africa/Caribbean/Black British, this was higher than the north east rate of 0.51% but lower than the England rate of 3.48%. Middlesbrough is only behind Newcastle upon Tyne on this measure (1.84%), however has the highest percentage in the Tees Valley.1.08% of the population were identified as Other Ethnic Group, this was higher than both the England rate of 1.03% and the north east rate of 0.43%. Middlesbrough is only behind Newcastle upon Tyne with 1.46%, however has the highest percentage in the Tees Valley.8.2% of Middlesbrough’s total population were born outside of the UK as at census 2011, this was lower than the England rate of 8.21% but almost double the north east rate of 4.95%. Middlesbrough has the highest percentage of residents born outside of the UK in the Tees Valley, however it is second behind Newcastle upon Tyne in the north east.15.74% of Asylum seekers in the north east were reported to be resident in Middlesbrough in the period October to December 2017 (Q4). Newcastle upon Tyne has the highest rate with 23.66%, followed by Stockton-on-Tees with 19.73%, this places Middlesbrough third in the north east and second in the Tees Valley.ONS reports a rise in the number of Non-British nationals per 1,000 of the resident population, with 51.1 in 2011 and 72.5 in 2015. This is higher than the north east with 27.7 rising to 34.3 and lower than England at 83.5 rising to 93.2Gender Identity[7]The Gender Identity Research & Education Society (GIRES) estimates that about 1% of the British population are gender nonconforming to some degree. The numbers of Trans boys and Trans girls are about equal. The number of people seeking treatment is growing every year.Based on GIRES estimate, around 1,400 members of Middlesbrough’s population could be gender nonconforming, however this is an estimate.Whilst there is a requirement for data on gender identity, there are currently no means for recording it. The Office for National Statistics is currently considering the addition of a question on Gender Identity for the 2021 Census, however at this time it is under consultation as to how it will be added and worded to best suit this group of the population.Religion and Belief71.59% of Middlesbrough’s resident population were identified as having religion in the 2011 census. This is higher than both England with 68.09% and the north east with 70.52%22.25% of the population were identified as having no religion, this was lower than both England with 24.74% and the north east with 23.40%.6.16% of the population did not state their religion, this was lower than England with 7.18%, but higher than the north east with 6.08%.63.23% of the population were identified as Christian, this was higher than England with 59.38% but lower than the north east with 67.52%.7.05% of the population were identified as Muslim, this was higher than both England with 5.02% and the north east with 1.80%. Middlesbrough has the highest Muslim population in the north east and the Tees Valley.The remaining proportion of the population were identified as Buddhist, Hindu, Jewish, Sikh and ‘Other religion’ each accounting for less than 1% of the population. This trend is seen in the England and north east averages.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

South Africa data available from WorldPop here.

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. This dataset provides index values for small spatial units (vector polygons) within urban areas in sub-Saharan Africa. The ease of social distancing index is calculated based on the space available around buildings and population density. Index values were calculated for small spatial units, typically bounded by roads, rivers or other features. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

India data available from WorldPop here.

Abstract

The health and demography of the South African population has been undergoing substantial changes as a result of the rapidly progressing HIV epidemic. Researchers at the University of KwaZulu-Natal and the South African Medical Research Council established The Africa Health Research Studies in 1997 funded by a core grant from The Wellcome Trust, UK. Given the urgent need for high quality longitudinal data with which to monitor these changes, and with which to evaluate interventions to mitigate impact, a demographic surveillance system (DSS) was established in a rural South African population facing a rapid and severe HIV epidemic. The DSS, referred to as the Africa Health Research Institute Demographic Information System (ACDIS), started in 2000.

ACDIS was established to ‘describe the demographic, social and health impact of the HIV epidemic in a population going through the health transition’ and to monitor the impact of intervention strategies on the epidemic. South Africa’s political and economic history has resulted in highly mobile urban and rural populations, coupled with complex, fluid households. In order to successfully monitor the epidemic, it was necessary to collect longitudinal demographic data (e.g. mortality, fertility, migration) on the population and to mirror this complex social reality within the design of the demographic information system. To this end, three primary subjects are observed longitudinally in ACDIS: physical structures (e.g. homesteads, clinics and schools), households and individuals. The information about these subjects, and all related information, is stored in a single MSSQL Server database, in a truly longitudinal way—i.e. not as a series of cross-sections.

The surveillance area is located near the market town of Mtubatuba in the Umkanyakude district of KwaZulu-Natal. The area is 438 square kilometers in size and includes a population of approximately 85 000 people who are members of approximately 11 000 households. The population is almost exclusively Zulu-speaking. The area is typical of many rural areas of South Africa in that while predominantly rural, it contains an urban township and informal peri-urban settlements. The area is characterized by large variations in population densities (20–3000 people/km2). In the rural areas, homesteads are scattered rather than grouped. Most households are multi-generational and range with an average size of 7.9 (SD:4.7) members. Despite being a predominantly rural area, the principle source of income for most households is waged employment and state pensions rather than agriculture. In 2006, approximately 77% of households in the surveillance area had access to piped water and toilet facilities.

To fulfil the eligibility criteria for the ACDIS cohort, individuals must be a member of a household within the surveillance area but not necessarily resident within it. Crucially, this means that ACDIS collects information on resident and non-resident members of households and makes a distinction between membership (self-defined on the basis of links to other household members) and residency (residing at a physical structure within the surveillance area at a particular point in time). Individuals can be members of more than one household at any point in time (e.g. polygamously married men whose wives maintain separate households). As of June 2006, there were 85 855 people under surveillance of whom 33% were not resident within the surveillance area. Obtaining information on non-resident members is vital for a number of reasons. Most importantly, understanding patterns of HIV transmission within rural areas requires knowledge about patterns of circulation and about sexual contacts between residents and their non-resident partners. To be consistent with similar datasets from other INDEPTH Member centres, this data set contains data from resident members only.

During data collection, households are visited by fieldworkers and information supplied by a single key informant. All births, deaths and migrations of household members are recorded. If household members have moved internally within the surveillance area, such moves are reconciled and the internal migrant retains the original identfier associated with him/her.

Geographic coverage

Demographic surveillance area situated in the south-east portion of the uMkhanyakude district of KwaZulu-Natal province near the town of Mtubatuba. It is bounded on the west by the Umfolozi-Hluhluwe nature reserve, on the South by the Umfolozi river, on the East by the N2 highway (except form portions where the Kwamsane township strandles the highway) and in the North by the Inyalazi river for portions of the boundary. The area is 438 square kilometers.

Analysis unit

Individual

Universe

Resident household members of households resident within the demographic surveillance area. Inmigrants are defined by intention to become resident, but actual residence episodes of less than 180 days are censored. Outmigrants are defined by intention to become resident elsewhere, but actual periods of non-residence less than 180 days are censored. Children born to resident women are considered resident by default, irrespective of actual place of birth. The dataset contains the events of all individuals ever resident during the study period (1 Jan 2000 to 31 Dec 2015).

Kind of data

Event history data

Frequency of data collection

This dataset contains rounds 1 to 37 of demographic surveillance data covering the period from 1 Jan 2000 to 31 December 2015. Two rounds of data collection took place annually except in 2002 when three surveillance rounds were conducted. From 1 Jan 2015 onwards there are three surveillance rounds per annum.

Sampling procedure

This dataset is not based on a sample but contains information from the complete demographic surveillance area.

Reponse units (households) by year: Year Households 2000 11856
2001 12321
2002 12981
2003 12165
2004 11841
2005 11312
2006 12065
2007 12165
2008 11790
2009 12145
2010 12485
2011 12455
2012 12087 2013 11988 2014 11778 2015 11938

In 2006 the number of response units increased due to the addition of a new village into the demographic surveillance area.

Sampling deviation

None

Mode of data collection

Proxy Respondent [proxy]

Research instrument

Bounded structure registration (BSR) or update (BSU) form: - Used to register characteristics of the BS - Updates characteristics of the BS - Information as at previous round is preprinted

Household registration (HHR) or update (HHU) form: - Used to register characteristics of the HH - Used to update information about the composition of the household - Information preprinted of composition and all registered households as at previous

Household Membership Registration (HMR) or update (HMU): - Used to link individuals to households - Used to update information about the household memberships and member status observations - Information preprinted of member status observations as at previous

Individual registration form (IDR): - Used to uniquely identify each individual - Mainly to ensure members with multiple household memberships are appropriately captured

Migration notification form (MGN): - Used to record change in the BS of residency of individuals or households _ Migrants are tracked and updated in the database

Pregnancy history form (PGH) & pregnancy outcome notification form (PON): - Records details of pregnancies and their outcomes - Only if woman is a new member - Only if woman has never completed WHL or WGH

Death notification form (DTN): - Records all deaths that have recently occurred - Iincludes information about time, place, circumstances and possible cause of death

Cleaning operations

On data entry data consistency and plausibility were checked by 455 data validation rules at database level. If data validaton failure was due to a data collection error, the questionnaire was referred back to the field for revisit and correction. If the error was due to data inconsistencies that could not be directly traced to a data collection error, the record was referred to the data quality team under the supervision of the senior database scientist. This could request further field level investigation by a team of trackers or could correct the inconsistency directly at database level.

No imputations were done on the resulting micro data set, except for:

a. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is greater than 180 days, the ENT event was changed to an in-migration event (IMG). b. If an out-migration (OMG) event is followed by a homestead entry event (ENT) and the gap between OMG event and ENT event is less than 180 days, the OMG event was changed to an homestead exit event (EXT) and the ENT event date changed to the day following the original OMG event. c. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is greater than 180 days, the EXT event was changed to an out-migration event (OMG). d. If a homestead exit event (EXT) is followed by an in-migration event (IMG) and the gap between the EXT event and the IMG event is less than 180 days, the IMG event was changed to an homestead entry event (ENT) with a date equal to the day following the EXT event. e. If the last recorded event for an individual is homestead exit (EXT) and this event is more than 180 days prior to the end of the surveillance period, then the EXT event is changed to an

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Equatorial Guinea data available from WorldPop here.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Guinea data available from WorldPop here.

The Office for National Statistics (ONS) publishes data on the number of live births by the mother's country of birth in England and Wales each year. Every time a birth is registered in England and Wales both parents are required to state their places of birth on their child's birth certificate, and this information is then collated to produce these statistics. In order to make it easier to look at what these data tell us about births in London, and how these have been changing over time, the GLA Demography team has extracted the data which relate to London from the main ONS dataset since 2001 and presented it here in an easily accessible format. For more information about how the ONS produces these statistics, please visit their website: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths For more information about how we extracted these data and created this report, please this project's Github repository: https://github.com/Greater-London-Authority/births_by_mothers_country_of_birth Since 2001, the number of live births being recorded in London has changed from 104,162 to 104,246 births per year. The proportion of births which were to mothers who had been born outside the UK has changed from 43% in 2001 to 59% in the most recent year (2023). In 2023, the region of origin which supplied the largest number of births to non-UK-born mothers in London was Asia with 24,004, followed by the Africa which provided 10,596. The region of origin which has seen the largest change since 2001 is the Asia, which went from 13,489 live births per year in 2001 to 24,004 in 2023. In 2023, the region with the largest number of births to non-UK-born mothers was London with 61,357 live births (59% of all live births in London). By contrast, the region with the lowest number of births to non-UK-born mothers was the Wales with 3,891 live births to non-UK-born mothers, which only represented 14% of all live births in that region. The data shows that London accounted for 33% of all the births to non-UK-born mothers in England and Wales in 2023, which was a far higher proportion than any other region. These data also highlight a couple of other interesting comparisons. Firstly, despite being the second largest region in England and Wales in terms of population, London is not the region with the largest number of births to UK-born mothers. Secondly, London is the only region to have relatively large numbers of mothers from every region of the world according to the way in which the ONS has categorised them, including Africa, non-EU European countries (such as Turkey and Russia) and the 'Rest of the World' (which includes the Americas and Oceania). The data comparing London with England & Wales excluding London and England & Wales as a whole (including London) is provided in the table below: Total Births - UK Mothers Total Births - Overseas Mothers Pre-2004 EU countries Post-2004 EU accession countries Rest of Europe Asia Africa Rest of the world Year Region No. % No. % No. % No. % No. % No. % No. % No. % 2023 London 42,889 41% 61,357 59% 6,505 6% 8,265 8% 5,985 6% 24,004 23% 10,596 10% 6,002 6% 2023 Rest of England & Wales 360,109 74% 126,540 26% 10,590 2% 26,464 5% 6,587 1% 49,668 10% 26,014 5% 7,217 1% 2023 England & Wales 402,998 68% 187,897 32% 17,095 3% 34,729 6% 12,572 2% 73,672 12% 36,610 6% 13,219 2% Births by Mother's Country of Birth by London Borough

In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

BackgroundFor successful glycemic control, diabetes control requires a comprehensive management plan in which patients are educated and supported to make informed decisions about diet, exercise, weight control, blood glucose monitoring, taking medication, and regular screening for complications. Current evidence on the effectiveness of diabetes self-management education and support (D-SMES) interventions on blood glucose control is mixed, with some studies pointing to significant glycemic control benefits, whereas others have shown no significant benefits.ObjectiveThis systematic review and meta-analysis (SRMA) was conducted to evaluate the effectiveness of D-SMES interventions compared with usual care in controlling blood glucose levels among people living with type 2 diabetes (T2DM) in the World Health Organization (WHO) Africa Region and to describe the core components of D-SMES interventions.MethodsWe performed a SRMA of D-SMES interventions for managing T2DM in the WHO Africa Region. We searched PubMed, CINAHL, the Cochrane Central Register of Controlled Trials (CCRCT), and Google Scholar from inception to May 5, 2025, for studies that were randomized control trials that reported glycated hemoglobin (HbA1c) or fasting blood sugar (FBS) as outcome measures and were delivered to adults with T2DM. The methodological quality of the included studies was assessed via the Cochrane risk of bias tool (RoB2). Random effects model meta-analysis was used to estimate the population average pooled standard mean difference (Hedges’ g) for HbA1c with 95% CIs.ResultsWe screened the title/abstract records of 350 studies, of which 19 studies with a total of 3759 participants (1866 in the D-SMES group and 1893 in the usual care group) were included in the meta-analysis of HbA1c. The meta-analysis revealed a significant overall effect of D-SMES interventions on HbA1c among people living with T2DM in the WHO African Region (SMD = -0.468 with a 95% CI of -0.658 to -0.279, I2 = 85.5%). nine of the nineteen included studies reported significant effects. We would expect that in some 95% of all populations comparable to those in the analysis, the true effect size would fall between -1.27 and 0.34 (prediction interval). Of the 19 included studies, 15 had a low risk of bias, two had high risk, and two raised some concerns based on the Cochrane RoB 2 tool.ConclusionsDiabetes self-management education and support interventions are moderately effective in controlling blood glucose levels in T2DM patients within the WHO African region.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier CRD42022375732.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Nigeria data available from WorldPop here.

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High Voltage Equipment Market Size 2024-2028

The high voltage equipment market size is forecast to increase by USD 50.38 billion at a CAGR of 7.45% between 2023 and 2028.

The market is experiencing significant growth due to increasing power demands from various sectors, including residential, industrial, and commercial. The evolution of smart grids is another key trend driving market expansion. Strict environmental regulations are also influencing the manufacturing of high-voltage equipment, leading to advancements in energy efficiency and sustainable production methods. These factors contribute to the market's continued growth and innovation. Additionally, the increasing adoption of renewable energy sources and the need for reliable and efficient power transmission systems further bolster market prospects. Overall, the market is poised for continued expansion as it addresses the evolving power needs of modern societies.

What will be the Size of the High Voltage Equipment Market During the Forecast Period?

Request Free SampleThe market encompasses a range of technologies essential to the generation, transmission, and measurement of electricity In the energy sector. Key market drivers include the expansion of renewable energy farms, such as solar and wind, in remote areas, and the need for reliable power transmission through transmission grids. High-voltage measuring equipment plays a critical role in electricity measurement and monitoring systems, ensuring energy efficiency and carbon emissions reduction. Substations, transformers, metal clad switchgear, and generators are integral components of the electric power system, facilitating the conversion, distribution, and restoration of power. In the context of grid modernization projects and smart grid integration, high-voltage equipment is increasingly utilized in laboratories and mobile substations to optimize energy infrastructure and improve power transmission.Insulating materials and advanced monitoring systems are also vital for enhancing the performance and safety of high-voltage equipment in various applications.

How is this High Voltage Equipment Industry segmented and which is the largest segment?

The high voltage equipment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ApplicationPower transmissionPower distributionTypeTransformerSwitchgearReactive power equipmentRelay panelOthersGeographyAPACChinaIndiaEuropeGermanyUKNorth AmericaUSSouth AmericaMiddle East and Africa

By Application Insights

The power transmission segment is estimated to witness significant growth during the forecast period.

The market is experiencing notable growth due to several influential factors. The expanding industrialization and population growth necessitate increased electricity consumption, leading to the demand for efficient power transmission systems. High-voltage equipment, comprising transformers, circuit breakers, and switchgear, plays a pivotal role in facilitating the reliable and efficient transfer of electrical energy over extended distances. Furthermore, the integration of renewable energy sources, such as wind and solar power, into the grid necessitates robust high-voltage equipment to manage their intermittent nature. As countries prioritize transitioning to cleaner energy solutions, the demand for high-voltage equipment to support renewable energy integration continues to escalate.This trend is particularly significant In the context of the power transmission segment, which is poised for substantial growth In the coming years.

Get a glance at the High Voltage Equipment Industry report of share of various segments Request Free Sample

The Power transmission segment was valued at USD 52.95 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 49% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The Asia Pacific (APAC) region experiences significant electricity demand due to the expansion of electricity-consuming sectors and increasing urban population. Countries In the area are attracting private investments to meet the growing electricity needs, driven by rising standards of living and industrialization. China holds a substantial market share in APAC's high-voltage equipment sector. The region's population growth and urbanization, along with government initiatives for rural electrification, fuel the demand for electricity. High-voltage equipment plays a crucial role in power generation, transmission, and distribution, inclu

By 2030, the middle-class population in Asia-Pacific is expected to increase from **** billion people in 2015 to **** billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from *** million in 2015 to *** million in 2030. Worldwide wealth While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around ** percent of the world’s population had assets valued at less than 10,000 U.S. dollars, while less than *** percent had assets of more than one million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percentage of non-investable assets. The middle-class The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth among the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle class.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Thailand data available from WorldPop here.