Until the 1800s, population growth was incredibly slow on a global level. The global population was estimated to have been around 188 million people in the year 1CE, and did not reach one billion until around 1803. However, since the 1800s, a phenomenon known as the demographic transition has seen population growth skyrocket, reaching eight billion people in 2023, and this is expected to peak at over 10 billion in the 2080s.

In the past four centuries, the population of the United States has grown from a recorded 350 people around the Jamestown colony of Virginia in 1610, to an estimated 331 million people in 2020. The pre-colonization populations of the indigenous peoples of the Americas have proven difficult for historians to estimate, as their numbers decreased rapidly following the introduction of European diseases (namely smallpox, plague and influenza). Native Americans were also omitted from most censuses conducted before the twentieth century, therefore the actual population of what we now know as the United States would have been much higher than the official census data from before 1800, but it is unclear by how much. Population growth in the colonies throughout the eighteenth century has primarily been attributed to migration from the British Isles and the Transatlantic slave trade; however it is also difficult to assert the ethnic-makeup of the population in these years as accurate migration records were not kept until after the 1820s, at which point the importation of slaves had also been illegalized. Nineteenth century In the year 1800, it is estimated that the population across the present-day United States was around six million people, with the population in the 16 admitted states numbering at 5.3 million. Migration to the United States began to happen on a large scale in the mid-nineteenth century, with the first major waves coming from Ireland, Britain and Germany. In some aspects, this wave of mass migration balanced out the demographic impacts of the American Civil War, which was the deadliest war in U.S. history with approximately 620 thousand fatalities between 1861 and 1865. The civil war also resulted in the emancipation of around four million slaves across the south; many of whose ancestors would take part in the Great Northern Migration in the early 1900s, which saw around six million black Americans migrate away from the south in one of the largest demographic shifts in U.S. history. By the end of the nineteenth 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. Twentieth and twenty-first century The U.S. population has grown steadily throughout the past 120 years, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. In the past century, the U.S. established itself as a global superpower, with the world's largest economy (by nominal GDP) and most powerful military. Involvement in foreign wars has resulted in over 620,000 further U.S. fatalities since the Civil War, and migration fell drastically during the World Wars and Great Depression; however the population continuously grew in these years as the total fertility rate remained above two births per woman, and life expectancy increased (except during the Spanish Flu pandemic of 1918).

Since the Second World War, Latin America has replaced Europe as the most common point of origin for migrants, with Hispanic populations growing rapidly across the south and border states. Because of this, the proportion of non-Hispanic whites, which has been the most dominant ethnicity in the U.S. since records began, has dropped more rapidly in recent decades. Ethnic minorities also have a much higher birth rate than non-Hispanic whites, further contributing to this decline, and the share of non-Hispanic whites is expected to fall below fifty percent of the U.S. population by the mid-2000s. In 2020, the United States has the third-largest population in the world (after China and India), and the population is expected to reach four hundred million in the 2050s.

Key figures on the population of the Netherlands. The following information is available: - Population by sex; - Population by marital status; - Population by age (groups); - Population by origin; - Private households; - Persons in institutional households; - Population growth; - Population density. CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin. Data available from: 1950 Figures on population by origin are only available from 2022 at this moment. The periods 1996 through 2021 will be added to the table at a later time. Status of the figures: All the figures are final. Changes as of 17 July 2024: Final figures with regard to population growth for 2023 and final figures of the population on 1 January 2024 have been added. Changes as of 26 April 2023: None, this is a new table. This table succeeds the table Population; key figures; 1950-2022. See section 3. The following changes have been implemented compared to the discontinued table: - The topic folder 'Population by migration background' has been replaced by 'Population by origin'; - The underlying topic folders regarding 'first and second generation migration background' have been replaced by 'Born in the Netherlands' and 'Born abroad'; - The origin countries Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan and Turkey have been assigned to the continent of Asia (previously Europe). When will new figures be published? In the last quarter of 2025 final figures with regard to population growth for 2024 and final figures of the population on 1 January 2025 will be added.

The most important key figures about population, households, population growth, births, deaths, migration, marriages, marriage dissolutions and change of nationality of the Dutch population. CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin. Data available from: 1899 Status of the figures: The 2023 figures on stillbirths and perinatal mortality are provisional, the other figures in the table are final. Changes as of 23 December 2024: Figures with regard to population growth for 2023 and figures of the population on 1 January 2024 have been added. The provisional figures on the number of stillbirths and perinatal mortality for 2023 do not include children who were born at a gestational age that is unknown. These cases were included in the final figures for previous years. However, the provisional figures show a relatively larger number of children born at an unknown gestational age. Based on an internal analysis for 2022, it appears that in the majority of these cases, the child was born at less than 24 weeks. To ensure that the provisional 2023 figures do not overestimate the number of stillborn children born at a gestational age of over 24 weeks, children born at an unknown gestational age have now been excluded. Changes as of 15 December 2023: None, this is a new table. This table succeeds the table Population; households and population dynamics; 1899-2019. See section 3. The following changes have been made: - The underlying topic folders regarding 'migration background' have been replaced by 'Born in the Netherlands' and 'Born abroad'; - The origin countries Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan and Turkey have been assigned to the continent of Asia (previously Europe). When will the new figures be published? The figures for the population development in 2023 and the population on 1 January 2024 will be published in the second quarter of 2024.

European countries are experiencing population decline and the tacit assumption in most analyses is that the decline may have detrimental welfare effects. In this paper we use a survey among the population in the Netherlands to discover whether population decline is always met with fear. A number of results stand out: population size preferences differ by geographic proximity: at a global level the majority of respondents favors a (global) population decline, but closer to home one supports a stationary population. Population decline is clearly not always met with fear: 31 percent would like the population to decline at the national level and they generally perceive decline to be accompanied by immaterial welfare gains (improvement environment) as well as material welfare losses (tax increases, economic stagnation). In addition to these driving forces it appears that the attitude towards immigrants is a very strong determinant at all geographical levels: immigrants seem to be a stronger fear factor than population decline.

AbstractConserving species requires knowledge of demographic rates (survival, recruitment) that govern population dynamics to allow the allocation of limited resources to the most vulnerable stages of target species' life cycles. Additionally, quantifying drivers of demographic change facilitates the enactment of specific remediation strategies. However, knowledge gaps persist in how similar environmental changes lead to contrasting population dynamics through demographic rates. For sympatric hummingbird species, the population of urban-associated partial-migrant Anna's hummigbird (Calypte anna) has increased, yet the populations of Neotropical migrants including rufous, calliope, and black-chinned hummingbirds have decreased. Here, we developed an integrated population model to jointly analyze 25 years of mark-recapture data and population survey data for these four species. We examined the contributions of demographic rates on population growth and evaluated the effects of anthropogenic stressors including human population density and crop cover on demographic change in relation to species' life histories. While recruitment appeared to drive the population increase of urban-associated Anna's hummingbirds, decreases in juvenile survival contributed most strongly to population declines of Neotropical migrants and highlight a potentially vulnerable phase in their life-history. Moreover, rufous hummingbird adult and juvenile survival rates were negatively impacted by human population density. Mitigating threats associated with intensively modified anthropogenic environments is a promising avenue for slowing further hummingbird population loss. Overall, our model grants critical insight into how anthropogenic modification of habitat affects the population dynamics of species of conservation concern. MethodsThis R data file contains a named list for each species in our study. It has been processed to remove covariates and data that are not public domain but are available for download at the links provided (indicated with * in the readme file). Each species list contains mark-recapture records (y), the known-state records (z), number of years spanned by the analysis (n.years), numbers banded individuals (n.ind), banding station membership (sta), number of banding stations (n.sta), year of first encounter for each individual (first), year of last possible encounter of each individual if it were to be alive (last), first and last years of mark recapture data (first_yr / last_yr), sex (1 = male, 2 = female) and age (1 = juvenile, 2 = adult) membership for each individual, the observed residency information for each individual in each year (r), the partially observed residency state information for each individual (u), the standardized human population density and crop data in the 3 kilometers around each banding station (HPD / crop), the unstandardized HPD and crop data (HPD_raw / crop_raw), the number of days of operational banding activity at each station each year (effort), and indicator for each station and year signifying whether banding occurred on at least two occasions separated by more than 5 days that year (kappa_shrink), the BBS survey year (year), an indicator of whether the BBS surveyor was suveying on their first year or not (firstyr), the number of BBS surveys (ncounts), the species tally on a given survey (count), the number of individual transects surveyed over the study period (nrte), the BBS transect membership for each count (rte), the number of observers contributing data over the study period (nobserver), the anonymized observer ID on a given transect for each count (rte.obser), and the initial abundance estimate given as the mean count across all transects and years, inflated by 100 for precise estimation of demographic rates (lam0). Usage notesData can be opened in R and analyzed using Nimble.

As a source of animal and plant population data, the Global Population Dynamics Database (GPDD) is unrivalled. Nearly five thousand separate time series are available here. In addition to all the population counts, there are taxonomic details of over 1400 species. The type of data contained in the GPDD varies enormously, from annual counts of mammals or birds at individual sampling sites, to weekly counts of zooplankton and other marine fauna. The project commenced in October 1994, following discussions on ways in which the collaborating partners could make a practical and enduring contribution to research into population dynamics. A small team was assembled and, with assistance and advice from numerous interested parties we decided to construct the database using the popular Microsoft Access platform. After an initial design phase, the major task has been that of locating, extracting, entering and validating the data in all the various tables. Now, nearly 5000 individual datasets have been entered onto the GPDD. The Global Population Dynamics Database comprises six Tables of data and information. The tables are linked to each other as shown in the diagram shown in figure 3 of the GPDD User Guide (GPDD-User-Guide.pdf). Referential integrity is maintained through record ID numbers which are held, along with other information in the Main Table. It's structure obeys all the rules of a standard relational database.

🇳🇱 네덜란드 Dutch Key figures on the population of the Netherlands. The following information is available: - Population by sex; - Population by marital status; - Population by age (groups); - Population by origin; - Private households; - Persons in institutional households; - Population growth; - Population density. CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin. Data available from: 1950 Figures on population by origin are only available from 2022 at this moment. The periods 1996 through 2021 will be added to the table at a later time. Status of the figures: All the figures are final. Changes as of 17 July 2024: Final figures with regard to population growth for 2023 and final figures of the population on 1 January 2024 have been added. Changes as of 26 April 2023: None, this is a new table. This table succeeds the table Population; key figures; 1950-2022. See section 3. The following changes have been implemented compared to the discontinued table: - The topic folder 'Population by migration background' has been replaced by 'Population by origin'; - The underlying topic folders regarding 'first and second generation migration background' have been replaced by 'Born in the Netherlands' and 'Born abroad'; - The origin countries Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan and Turkey have been assigned to the continent of Asia (previously Europe). When will new figures be published? In the last quarter of 2025 final figures with regard to population growth for 2024 and final figures of the population on 1 January 2025 will be added.

The 250mx250m population grid drawn up by the Andalusian Institute of Statistics and Cartography, provides meticulous and updated information on the distribution of the population in Andalusia, regardless of administrative divisions. It is a regular mesh of 250m x 250m cells to which, through georeferencing, the population has been assigned based on the location of the postal address where each of the inhabitants registered on January 1, 2018 in the Base resides. Longitudinal Population Data of Andalusia. As long as statistical secrecy is not compromised, in addition to the total population, each cell offers sociodemographic information allowing us to know the resident population according to large age groups, nationality, sex, place of birth, time of residence, state of affiliation, Receipt of a contributory pension from Social Security and job seekers from the Andalusian Employment Service. The website of the Institute of Statistics and Cartography of Andalusia. Junta de Andalucía offers a visualization service: "Spatial Distribution of the Population of Andalusia" that allows interactive consultation https://www.juntadeandalucia.es/institutodeestadisticaycartografia/distribucionpob/index.htm. In cases where the principle of statistical secrecy has been compromised, the data value has been replaced by the character '-1'. In the fields with information with nationality, the classifications are as follows: ESP: population with Spanish nationality. EU15: population with nationality of one of the member states of the European Union with a date of entry prior to 2004 (Germany, Austria, Belgium, Denmark, Finland, France, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, United Kingdom and Sweden). Spain is excluded. MAG, population with nationality of one of the following Maghreb countries (Algeria, Morocco and Tunisia). AMS population with nationality from a South American country (Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay and Venezuela); OTR, population with nationality of a country not included in the four indicated groups. The information related to Social Security affiliation distinguishes between: total affiliates, affiliates by sex, affiliates employed by others and affiliates on their own. On November 22, 2019, the population data is updated, corresponding to January 1, 2018. In addition, as of the 2015 edition, information on contributory pension recipients according to sex, type of pension and median income for this concept is included . The classification is as follows: PENCJUB: pensioners who exclusively receive retirement pensions, PENCVIU: pensioners who exclusively receive a widow's pension, PENCJYV: pensioners who receive both retirement and widowhood pensions, PENCINC: pensioners who exclusively receive a disability pension and PENCOTR: other types of pensioners not included in the four previous fields (orphans, in favor of relatives, ...) As of 2017, information is included in the File of job seekers registered in the offices of the Andalusian Employment Service (SAE), distinguishing between: total job seekers, male applicants and female applicants, in addition to total registered unemployment, registered unemployment in men and registered unemployment in women. In this latest edition, for the data for 2018, information is offered on the time elapsed in the municipality of residence. The IECA continues to work to continue including information that takes advantage of the potential of the integration of statistics, cartography and the exploitation of administrative records.

This study measured the population dynamics of coyotes in the grasslands and creosote shrublands of McKenzie Flats, Sevilleta National Wildlife Refuge. The study was begun in January, 1992, and continued quarterly each year. Coyotes were sampled via scat counts along the roads of McKenzie Flats during winter, spring, summer, and fall of each year. The entire road transect was 21.5 miles in length. Scat counts over a week period (number of scats/mile/day) in each season along the roads were used to calculate the densities of coyotes (number of coyotes per square kilometer). Results from 1992 to 2002 indicated that autumn was the peak density period of the year, with generally steady declines through the year until the following autumn. Coyote populations appeared to fluctuate seasonally, but remained relatively stable at 0.27 +/- 0.03 (SE) coyotes per km2 during summer periods (this likely represents the "breeding pair" density, during which coyote pairs have set up territories and are raising young, but the pups have not as yet joined the parents in foraging activities).

The most important key figures about population, households, birth, mortality, changes of residence, marriages, marriage dissolutions and change of nationality of the Dutch population.

Statistics Netherlands will reorganise the tables relating to statistics on population and households as of 2015. The aim is to reduce the number of tables while striving to preserve (much) needed information.

Data available from: 1899

Status of the figures: All data in this publication are final data.

Changes as from 29 December 2017: The final data of 2016 regarding 'Mortality by some causes of death' have been added.

Changes as from 18 October 2017: - The terms ‘People with a Dutch background’ (in Dutch: autochtoon) and ‘People with a foreign background’ (in Dutch: allochtoon) have been revised. They have been replaced by ‘Native Dutch people’ and ‘People with a migration background’ respectively. The terms in this table have been replaced as a result. - The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have not been adjusted.

Changes as from 10 October 2017: - The figure on the 'Population on 1 January, persons with Surinamese background' in 2015 has been corrected. This correction is due to a rounding error. The correction does not affect the remaining figures in the table. - Figures on the subject 'Mortality' and the selection 'Mortality by causes of death' have been corrected for the year 2014. These corrections are due to the fact that the correct average population was not taken as a basis. The corrections do not affect the remaining figures in the table.

When will the new figures be published? The following figures will be published in the fourth quarter of 2022: The figures on population dynamics concerning 2017 to 2021 and about the population on the 1st of January 2018 to 1st of January 2022.

This file is a PDF view of how “FOCAL Population Survey Tool (English): A survey to determine the epidemiology of acute gastrointestinal illness in Ethiopia, Mozambique, Nigeria, and Tanzania” appears in the Qualtrics Insight Platform online survey system. The survey was programmed into Qualtrics by individuals from the University of Waterloo (Desta, Majowicz).

The earliest point where scientists can make reasonable estimates for the population of global regions is around 10,000 years before the Common Era (or 12,000 years ago). Estimates suggest that Asia has consistently been the most populated continent, and the least populated continent has generally been Oceania (although it was more heavily populated than areas such as North America in very early years). Population growth was very slow, but an increase can be observed between most of the given time periods. There were, however, dips in population due to pandemics, the most notable of these being the impact of plague in Eurasia in the 14th century, and the impact of European contact with the indigenous populations of the Americas after 1492, where it took almost four centuries for the population of Latin America to return to its pre-1500 level. The world's population first reached one billion people in 1803, which also coincided with a spike in population growth, due to the onset of the demographic transition. This wave of growth first spread across the most industrially developed countries in the 19th century, and the correlation between demographic development and industrial or economic maturity continued until today, with Africa being the final major region to begin its transition in the late-1900s.

The most important key figures about population, households, birth, mortality, changes of residence, marriages, marriage dissolutions and change of nationality of the Dutch population. Data available from: 1899 Status of the figures: All data in this publication are final data. Changes as of 9 april 2021: The figures for the period 1987 to 1994 with regard to 'Emigration including the balance of the administrative corrections' have been corrected. The correction is due to duplications present in some of our source files. The differences are minimal. The figures for 1997 with regard to Emigration, including the balance of the administrative corrections for persons with nationality 'European Union (excluding the Netherlands)', and persons with country of birth 'European Union (excluding the Netherlands)' have been corrected. The correction is due to a calculation error. The topics 'Live born children, relative' and 'Sex ratio' have switched places. Changes as of 24 March 2020: The table has been revised. The following changes have been made: Population on January 1: - The number of 'Women' in 2012 has been corrected. - The figures for 'Migration background Suriname' and 'Migration background (former) Netherlands Antilles' have been changed for 1971 up to and including 1994. The changes are the result of a method change in the past, which was not reflected in the table at the time. The figures now match all other sections of StatLine. Population development: 'Emigration' has been changed to 'Emigration including administrative corrections', 'Migration balance' has been changed to 'Migration balance including administrative corrections'. Figures on emigration, including the balance of administrative corrections, provide a better picture of actual emigration than figures on emigration excluding these corrections. Due to the change, the figures for 1977 up to and including 2016 have changed. Live born children: The 2015 figures for 'Live born children from mothers aged 25 to 29, relative' and 'Live born children from mothers aged 30 or older, relative' have been adjusted. Mortality: - The figures for 'Life expectancy at birth: men' and 'Life expectancy at birth: women' for 1950 up to and including 1962, 1972, 1982, 1991, 1999, 2009 and 2011 have been corrected. - The figures for 'Mortality <1 year after birth, relative' for 1994 and 2011 have been corrected. - The figure for 'Mortality <1 year after birth, relative' for 2011 has been corrected. - The figures for 'Deceased by cause of death' have been removed from the table. (For more information: 3. LINKS TO RELEVANT TABLES AND ARTICLES). Foreign migration by nationality: - Various topics related to 'Emigration including administrative corrections' have been added. - 'Total immigration' has been corrected for 1993 and 1996. - 'Immigration, European Union (excluding the Netherlands)' has been adjusted for 2004 and 2013. - 'Emigration excluding administrative corrections, Dutch' has been corrected for 1995 and 2012. - 'Emigration excluding administrative corrections, Total non-Dutch' has been corrected for 1995 and 2012. - 'Emigration excluding administrative corrections, European Union' has been adjusted for 2004, 2005 and 2013. Foreign migration by country of birth: - Various topics related to 'Emigration including administrative corrections' have been added. - 'Total immigration' has been corrected for 1993 and 1996. - 'Immigration, European Union (excluding the Netherlands)' has been adjusted for 1987 up to and including 1990 and for 2004. - 'Immigration, Suriname and the Netherlands Antilles' has been corrected for 2012. - 'Immigration, Netherlands Antilles' has been corrected for 2012. - 'Emigration excluding administrative corrections, European Union (excluding the Netherlands)' has been adjusted for 1989, 1999 and 2004. - 'Emigration excluding administrative corrections, Indonesia' has been corrected for 1994. - 'Emigration excluding administrative corrections, Suriname and the Netherlands Antilles' has been corrected for 1997. - 'Emigration excluding administrative corrections, Netherlands Antilles' has been corrected for 1997. - 'Emigration excluding administrative corrections, Specific emigration areas' has been corrected for 1995. Foreign migration by country of origin / destination: - 'Total immigration' has been corrected for 1996. - 'Immigration, European Union (excluding the Netherlands)' has been adjusted for 2004. - 'Immigration, Indonesia, Suriname and the Netherlands Antilles' has been corrected for 2007 and 2010 up to and including 2016. - 'Immigration, Suriname and the Netherlands Antilles' has been corrected for 2010 up to and including 2016. - 'Immigration, Indonesia' has been corrected for 2013. - 'Immigration, Netherlands Antilles' has been corrected for 2010 up to and including 2016. - 'Emigration excluding administrative corrections, European Union (excluding the Netherlands)' has been adjusted for 1998 and 2004. - 'Emigration excluding administrative corrections, Indonesia, Suriname and the Netherlands Antilles' has been corrected for 2010 up to and including 2016. - 'Emigration excluding administrative corrections, Suriname and Netherlands Antilles' has been corrected for 2010 up to and including 2016. - 'Emigration excluding administrative corrections, Netherlands Antilles' has been corrected for 2010 up to and including 2016. - 'Emigration excluding administrative corrections, Turkey' has been corrected for 2012. The corrections are the result of manual actions. The differences concern rounding differences and are minimal. The adjustments with regard to the European Union are generally the result of a changed calculation method. When will the new figures be published? The figures for the population development in 2019 and the population on 1 January 2020 will be published in the first quarter of 2021.

A. SUMMARY This archived dataset includes data for population characteristics that are no longer being reported publicly. The date on which each population characteristic type was archived can be found in the field “data_loaded_at”.

B. HOW THE DATASET IS CREATED Data on the population characteristics of COVID-19 cases are from:  * Case interviews  * Laboratories  * Medical providers    These multiple streams of data are merged, deduplicated, and undergo data verification processes.  

Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups.

Gender * The City collects information on gender identity using these guidelines.

Skilled Nursing Facility (SNF) occupancy * A Skilled Nursing Facility (SNF) is a type of long-term care facility that provides care to individuals, generally in their 60s and older, who need functional assistance in their daily lives.  * This dataset includes data for COVID-19 cases reported in Skilled Nursing Facilities (SNFs) through 12/31/2022, archived on 1/5/2023. These data were identified where “Characteristic_Type” = ‘Skilled Nursing Facility Occupancy’.

Sexual orientation * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old. https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf">Learn more about our data collection guidelines pertaining to sexual orientation.

Comorbidities * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death.

Homelessness Persons are identified as homeless based on several data sources: * self-reported living situation * the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures. These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions.

Single Room Occupancy (SRO) tenancy * SRO buildings are defined by the San Francisco Housing Code as having six or more "residential guest rooms" which may be attached to shared bathrooms, kitchens, and living spaces. * The details of a person's living arrangements are verified during case interviews.

Transmission Type * Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown.

C. UPDATE PROCESS This dataset has been archived and will no longer update as of 9/11/2023.

D. HOW TO USE THIS DATASET Population estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).

This dataset includes many different types of characteristics. Filter the “Characteristic Type” column to explore a topic area. Then, the “Characteristic Group” column shows each group or category within that topic area and the number of cases on each date.

New cases are the count of cases within that characteristic group where the positive tests were collected on that specific specimen collection date. Cumulative cases are the running total of all San Francisco cases in that characteristic group up to the specimen collection date listed.

This data may not be immediately available for recently reported cases. Data updates as more information becomes available.

To explore data on the total number of cases, use the ARCHIVED: COVID-19 Cases Over Time dataset.

E. CHANGE LOG

• 9/11/2023 - data on COVID-19 cases by population characteristics over time are no longer being updated. The date on which each population characteristic type was archived can be found in the field “data_loaded_at”.
• 6/6/2023 - data on cases by transmission type have been removed. See section ARCHIVED DATA for more detail.
• 5/16/2023 - data on cases by sexual orientation, comorbidities, homelessness, and single room occupancy have been removed. See section ARCHIVED DATA for more detail.
• 4/6/2023 - the State implemented system updates to improve the integrity of historical data.
• 2/21/2023 - system updates to improve reliability and accuracy of cases data were implemented.
• 1/31/2023 - updated “population_estimate” column to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.
• 1/5/2023 - data on SNF cases removed. See section ARCHIVED DATA for more detail.
• 3/23/2022 - ‘Native American’ changed to ‘American Indian or Alaska Native’ to align with the census.
• 1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.
• 7/15/2022 - reinfections added to cases dataset. See section SUMMARY for more information on how reinfections are identified.

NBG 354. Population additional education

The numbers from 1 to 20 represent the 20 species with extremely small populations, as shown in Appendix S1.

This table contains figures on the participation in lifelong learning of the population aged 15 to 75 (excluding the institutional population) in the Netherlands. The data can be broken down by different background characteristics such as gender, age, highest educational attainment and labour market position (active, unemployed and the non-occupational population). At the same time, people undergo formal training as non-formal training. These persons are included in this table among those undergoing formal training. As a result, the number of persons undergoing non-formal training in this table is somewhat lower than the actual number of persons undergoing non-formal training.

Due to changes in the research design and questionnaire of the EBB, a revision of the figures for reporting year 2021 was carried out in the first quarter of 2022. The figures for 2021 are not necessarily comparable to the previous reporting periods. In this table, we see a break with previous years in the figures on participation in non-formal education. In this, the EBB questionnaire has become personal, whereas respondents were asked about the situation for the whole family or household. Now everyone answers only for themselves and not for others anymore. For non-formal courses, it appears that if they are reported by others, they are less well measured.

Data available from 2003 to 2021

Status of the figures: The figures in this table are final.

Amendments as of 15 November 2022: None, this table has been discontinued.

Changes as of 17 May 2022: Due to changes in the research design and questionnaire of the EBB, a revision of the figures for reporting year 2021 has been carried out. The figures for 2021 are not necessarily comparable to the previous reporting periods.

Changes as of 14 November 2019: The figures on the level of education in this table have been corrected for the period 2012-2018. This is a correction in the distraction of the level of education of persons who indicate that they have obtained a diploma abroad with a level similar to the higher education level. This group was wrongly awarded the level associated with an MBO2 training.

When are new figures coming? No longer applicable. This table is followed up by the Lifelong Learning Table; population (15 to 75 years). See paragraph 3.

This indicator is no longer maintained, and is considered OBSOLETE.

INDICATOR DEFINITION Demographic parameters for the Adelie penguin at Bechervaise Island near Mawson.

TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system.

This indicator is one of: CONDITION

RATIONALE FOR INDICATOR SELECTION The Adelie penguin is a relatively long lived sea bird dependent on krill. It is expected that major changes in the availability of food (krill) to sea birds will be reflected ultimately in recruitment into the breeding population. Causes of changes in the availability of krill relate directly to changes in both the biological and physical environment brought about by man made or natural means. Ageing populations may give an outward appearance of stability in terms of numbers at a breeding colony but such a condition may mask a decline in recruitment. To determine whether there are environmental influences on the population it is necessary to undertake detailed demographic studies.

Demographic studies carried out over many years on animal populations comprising known age cohorts are required to determine those factors responsible for any observed changes in recruitment and/or mortality. Population reconstruction techniques provide estimates of recruitment and mortality and relate these functions to population size and/or population trends. These studies may alert us to possible changes in the ecosystem particularly related to the availability of food to the penguins or changes to the physical environment. The identification of the cause of changes must come from detailed investigations of food availability and the environment carried out at the same time.

Annual breeding success at Bechervaise Island (eggs laid to chicks fledged) varies enormously from 0 in catastrophic years to above 1 for good seasons. The population at Bechervaise Island near Mawson has been monitored since 1990 as part of the CCAMLR Ecosystem Monitoring Program. Chicks and adults have been tagged annually. The number of breeding pairs has increased slightly between 1990-2001, but changes in the non -breeding population are unknown. Demographic studies based on the return rate of birds tagged as chicks provide information on trends in the overall population and the net rate of recruitment. Since it is intended that this program be undertaken indefinitely it makes this population an excellent subject for monitoring in the context of the SOE.

DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM Spatial Scale: Restricted to the Mawson region. Similar studies are carried out by other national research programs at Terra Nova Bay (Italy) and on the Antarctic Peninsula (USA).

Frequency: Annual

Measurement Technique: The Adelie penguin population at Bechervaise Island consists of approximately 1800 breeding pairs. Each breeding season since 1990/91 in excess of 250 chicks have been given implanted electronic identification tags. The return of birds to their natal colony has been detected automatically by the Automated Penguin Monitoring System (APMS)or by checking all birds with a hand held tag reader. Additional and associated biological data as prescribed by CCAMLR (1997 are collected to aid interpretation of demographic and other trends. To detect trends in the population size and in demographic parameters, particularly of recruitment, it will be necessary to maintain an annual tagging program of chicks and recording of all tagged birds.

RESEARCH ISSUES comprehensive analysis of the data collected over the duration of this study is required to determine natural variation and potential anthropogenic influences affecting Adelie penguin population dynamics.

LINKS TO OTHER INDICATORS Sea-ice extent and concentration.

Population structure 2017