Equifax Subprime Credit Population for Jay County, IN was 22.12% in January of 2025, according to the United States Federal Reserve. Historically, Equifax Subprime Credit Population for Jay County, IN reached a record high of 33.50 in April of 2008 and a record low of 18.65 in April of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Equifax Subprime Credit Population for Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

This dataset presents long-term projections of the major economic indices (e.g., production, capital stock, and labor population) for Japan's 47 prefectures. The economic projections are based on the econometric models estimated from historical data, and the projection results corresponding to ten socioeconomic scenarios are available. The learning period is from 1975 to 2012, and the projection period is 2013 to 2100. Economic value is measured in constant 2000 JPY. The historical data on the economic indices are from the Regional-Level Japan Industrial Productivity (R-JIP) Database 2017 developed by the Research Institute of Economy, Trade, and Industry (RIETI). The historical data on population are from the Statistics Bureau of Japan. The population scenarios used for the economic projections are consistent with the Japan Shared Socioeconomic Pathways (JPNSSPs) developed by the National Institute for Environmental Studies (NIES). For details of the econometric models and socioeconomic scenarios, see Honjo et al. (2021, Heliyon 7, e06412. https://doi.org/10.1016/j.heliyon.2021.e06412). This study was supported by the Environment Research and Technology Development Fund JPMEERF20182005 of the Environmental Restoration and Conservation Agency of Japan.

Resident Population in Jay County, IN was 20.16400 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Jay County, IN reached a record high of 24.40000 in January of 1975 and a record low of 20.06900 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Equifax Subprime Credit Population for Jay County, IN (EQFXSUBPRIME018075) from Q2 2014 to Q1 2025 about Jay County, IN; subprime; IN; population; and USA.

This data collection contains information about the population of each county, town, and city of the United States in 1850 and 1860. Specific variables include tabulations of white, black, and slave males and females, and aggregate population for each town. Foreign-born population, total population of each county, and centroid latitudes and longitudes of each county and state were also compiled.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Jay County, IN (B03002006E018075) from 2009 to 2023 about Jay County, IN; asian; IN; non-hispanic; estimate; persons; 5-year; population; and USA.

Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Jay County, IN was 62.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Jay County, IN reached a record high of 123.00000 in January of 2015 and a record low of 8.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Jay County, IN (B03002010E018075) from 2009 to 2023 about Jay County, IN; IN; non-hispanic; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Native Hawaiian and Other Pacific Islander Alone (5-year estimate) in Jay County, IN (B03002017E018075) from 2009 to 2023 about Jay County, IN; Pacific Islands; IN; latino; hispanic; estimate; persons; 5-year; population; and USA.

Estimate, Median Age by Sex, Total Population (5-year estimate) in Jay County, IN was 39.60000 Years of Age in January of 2023, according to the United States Federal Reserve. Historically, Estimate, Median Age by Sex, Total Population (5-year estimate) in Jay County, IN reached a record high of 40.20000 in January of 2020 and a record low of 38.70000 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate, Median Age by Sex, Total Population (5-year estimate) in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

Rapid land use transformations and increased climatic uncertainties challenge potential sustainable development pathways for communities and wildlife in regions with strong economic reliance on natural resources. In response to the complex causes and consequences of land use change, participatory scenario development approaches have emerged as key tools for analyzing drivers of change to help chart the future of socio-ecological systems. We assess stakeholder perspectives of land use and land cover change (LULCC) and integrate co-produced scenarios of future land cover change with spatial modeling to evaluate how future LULCC in the wider Serengeti ecosystem might align or diverge with the United Nations’ Sustainable Development Goals and the African Union’s Agenda 2063. Across the wider Serengeti ecosystem, population growth, infrastructural development, agricultural economy, and political will in support of climate change management strategies were perceived to be the key drivers of future LULCC. Under eight scenarios, declines in forest area as a proportion of total land area ranged from 0.1% to 4% in 2030 and from 0.1% to 6% in 2063, with the preservation of forest cover linked to the level of protection provided. Futures with well-demarcated protected areas, sound land use plans, and stable governance were highly desired. In contrast, futures with severe climate change impacts and encroached and degazetted protected areas were considered undesirable. Insights gained from our study are important for guiding pathways toward achieving sustainability goals while recognizing societies’ relationship with nature. The results highlight the usefulness of multi-stakeholder engagement, perspective sharing, and consensus building toward shared socio-ecological goals.

The total outgoing and incoming flows from movement between counties were quantified. Movement variables were defined for both various trip durations and the average number of trips over different time frames. All trip duration variables (Len. Week – Len. 4 months) measured the total number of trips that lasted up to the variable name, i.e. Len. Week measures trips lasting up to one week. The average number of trip variables (Avg. Daily – Yearly) measures the trips for various time frames, i.e. Avg. Daily measures the average number of trips each day. For each movement variable, these values were ranked and compared with the ranked values from the total outgoing/incoming movement of individuals from the national census. The census measured responses to the question, ‘where did you live one year ago?’. A linear regression was used to quantify the relationship with adjusted R-squared values presented. Note for all movement variables, p

The operational Sitka spruce selection and breeding programme commenced in 1963 with the selection in British forests of superior individuals for height, diameter, stem straightness and branching quality. Over 1800 plus-trees were selected over the next 20 years or so. Whilst these trees were thought to be of Queen Charlotte Islands origin (QCI; British Columbia, Canada) origin, forest records were often incomplete in this regard. Also there is known to be considerable variation in the performance of seed lots collected across the range of QCI. A regular programme of open-pollinated half-sib progeny testing of selected plus trees commenced in 1967.
Only if variance components are derived from an unselected population will they be free of any artificially induced bias for the selected traits and other correlated traits. A soundly based breeding strategy is dependent on reliable information regarding the underlying variation and pattern of inheritance. When accurate estimates of unbiased genetic variances are available, it is possible to make realistic predictions of times and costs likely to be incurred under different breeding schemes and selection intensities which could be simulated with mathematical models. Ideally, a study into the variance components operating within an unselected population should be carried out prior to commencing a selection and breeding programme. This is rarely possible due to the time delay involved in obtaining data from genetic tests up to half a rotation length prior to starting a programme. At best, genetic field trials may be planned to run concurrently with the operational testing and selection programmes such that an existing programme may have its efficiency increased, or direction altered. In 1969 there was the opportunity to collect seed from a stand of known QCI origin in which cones were being produced on all size classes of trees. 150 coning trees were randomly selected from the across the dominance classes within the stand in approximate proportion to their respective contribution to the make-up (%) of the stand. Seed extracted from the cones collected from each tree were raised as parent-specific open-pollinated families in a research nursery prior to planting out onto randomised and replicated site in spring 1972. For more information see: Lee, S.J., Woolliams, J., Samuel, C.J.A. and Malcolm, D.C. (2002a). A study of population variation and inheritance in Sitka spruce II. Age trends in genetic parameters for vigour traits and optimum selection ages. Silvae Genetica, 51 (2-3), 55-65 Lee, S.J., Woolliams, J., Samuel, C.J.A. and Malcolm, D.C. (2002b). A study of population variation and inheritance in Sitka spruce III. Age trends in genetic parameters and optimum selection ages for wood density, and genetic correlations with vigour traits. Silvae Genetica 51, (4), 143-151. Lee, S.J., Woolliams, J., Samuel, C.J.A. and Malcolm, D.C. (2007). A study of population variation and inheritance in Sitka spruce IV. Correlated response in the progeny population based on selection in the parental population. Silvae Genetica 56, (1), 36-44 Samuel, C.J.A. and Johnstone, R.C.B (1979). A study of population variation and inheritance in Sitka spruce. I. Results of glasshouse, nursery and early forest progeny tests. Silvae Genetica 28(1), 26‑32.

Population Estimate, Total, Hispanic or Latino (5-year estimate) in Jay County, IN was 911.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Jay County, IN reached a record high of 911.00000 in January of 2023 and a record low of 551.00000 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Jay County, IN was 68.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Jay County, IN reached a record high of 157.00000 in January of 2019 and a record low of 3.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

Indonesia COVID-19: Assessment: Confirmed Case per 100 th Population per Week: Jambi data was reported at 0.027 Person in 28 Oct 2023. This stayed constant from the previous number of 0.027 Person for 27 Oct 2023. Indonesia COVID-19: Assessment: Confirmed Case per 100 th Population per Week: Jambi data is updated daily, averaging 0.440 Person from Dec 2021 (Median) to 28 Oct 2023, with 341 observations. The data reached an all-time high of 2.338 Person in 27 Oct 2022 and a record low of 0.027 Person in 28 Oct 2023. Indonesia COVID-19: Assessment: Confirmed Case per 100 th Population per Week: Jambi data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLB021: Coronavirus Disease 2019 (Covid-19): Covid Situation: Assessment: by Province (Discontinued).

Graph and download economic data for Employed Persons in Jay County, IN (LAUCN180750000000005A) from 1990 to 2024 about Jay County, IN; IN; household survey; employment; persons; and USA.

Percent of Population Below the Poverty Level (5-year estimate) in Jay County, IN was 13.20% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Jay County, IN reached a record high of 17.90 in January of 2017 and a record low of 13.20 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Percent of Population Below the Poverty Level (5-year estimate) in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.

We provide the data used for this research in both Excel (one file with one matrix per sheet, 'Allmatrices.xlsx'), and CSV (one file per matrix).

Patent applications (Patent_applications.csv) Patent applications from residents and no residents per million inhabitants. Data obtained from the World Development Indicators database (World Bank 2020). Normalization by the number of inhabitants was made by the authors.

High-tech exports (High-tech_exports.csv) The proportion of exports of high-level technology manufactures from total exports by technology intensity, obtained from the Trade Structure by Partner, Product or Service-Category database (Lall, 2000; UNCTAD, 2019)

Expenditure on education (Expenditure_on_education.csv) Per capita government expenditure on education, total (2010 US$). The data was obtained from the government expenditure on education (total % of GDP), GDP (constant 2010 US$), and population indicators of the World Development Indicators database (World Bank 2020). Normalization by the number of inhabitants was made by the authors.

Scientific publications (Scientific_publications.csv) Scientific and technical journal articles per million inhabitants. The data were obtained from the scientific and technical journal articles and population indicators of the World Development Indicators database (World Bank 2020). Normalization by the number of inhabitants was made by the authors.

Expenditure on R&D (Expenditure_on_R&D.csv) Expenditure on research and development. Data obtained from the research and development expenditure (% of GDP), GDP (constant 2010 US$), and population indicators of the World Development Indicators database (World Bank 2020). Normalization by the number of inhabitants was made by the authors.

Two centuries of GDP (GDP_two_centuries.csv) GDP per capita that accounts for inflation. Data obtained from the Maddison Project Database, version 2018 (Inklaar et al. 2018), and available from the Open Numbers community (open-numbers.github.io).

Inklaar, R., de Jong, H., Bolt, J., & van Zanden, J. (2018). Rebasing “Maddison”: new income comparisons and the shape of long-run economic development (GD-174; GGDC Research Memorandum). https://www.rug.nl/research/portal/files/53088705/gd174.pdf

Lall, S. (2000). The Technological Structure and Performance of Developing Country Manufactured Exports, 1985‐98. Oxford Development Studies, 28(3), 337–369. https://doi.org/10.1080/713688318

Unctad. 2019. “Trade Structure by Partner, Product or Service-Category.” 2019. https://unctadstat.unctad.org/EN/.

World Bank. (2020). World Development Indicators. https://databank.worldbank.org/source/world-development-indicators

Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Jay County, IN was 18864.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Jay County, IN reached a record high of 20544.00000 in January of 2010 and a record low of 18864.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Jay County, IN - last updated from the United States Federal Reserve on July of 2025.