Graph and download economic data for Resident Population in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (CHIPOP) from 2000 to 2022 about Chicago, IL, IN, WI, residents, population, and USA.

Graph and download economic data for Unemployment Rate in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (LAUMT171698000000003A) from 1990 to 2024 about Chicago, IL, IN, WI, household survey, unemployment, rate, and USA.

The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Illinois Basin Province is located in portions of Kentucky, Illinois, Indiana, Missouri, and Tennessee. The main population centers within the study area are Louisville, Kentucky; Peoria and Springfield Illinois; Indianapolis, Indiana; Saint Louis, Missouri; and Nashville, Tennessee. The main interstates, I-80, I-70, and I-40, generally traverse the area from east to west, while interstates, I-55 and I-65 generally traverse the area from north to south. The Ohio River and Mississippi River and their tributaries drain the area. The province boundary was drawn to include the geologic structures generally considered to be in or bounding the Illinois Basin.

Functioning general-purpose governmental units were the focus of this dataset. This aggregate data collection includes the name of each governmental unit, per capita income in 1979, total population as of April 1, 1980, per capita income estimates for 1981, and July 1, 1982, population estimates. Information is included for all counties, incorporated places, and functioning minor civil divisions (MCDs) in Connecticut, Illinois, Indiana, Kansas, Maine, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont, and Wisconsin. (Source: ICPSR, retrieved 06/28/2011)

Graph and download economic data for Civilian Labor Force in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (LAUMT171698000000006A) from 1990 to 2024 about Chicago, IL, IN, civilian, WI, labor force, labor, household survey, and USA.

There are three components of change: births, deaths, and migration. The change in the population from births and deaths is often combined and referred to as natural increase or natural change. Populations grow or shrink depending on if they gain people faster than they lose them. Looking at an area’s unique combination of natural change and migration helps us understand why its population is changing, and how quickly the change is occurring.Natural IncreaseNatural change is the difference between births and deaths in a population. Often times, natural change is positive, which means that more babies are being born than people are dying. This positive natural change is referred to as natural increase. Examples of natural increase exist across the United States, one being the Salt Lake City metro area in Utah. Between 2014 and 2015, Salt Lake City had around 19,100 births and 6,400 deaths. Since there were about 12,700 more births than deaths, Salt Lake City had a natural increase of about 12,700 people, making natural increase a key reason why its population grew over the year.The opposite of natural increase is called natural decrease, where more people are dying than babies being born, which can cause a population to shrink. Areas with aging populations often have natural decrease. Two states had natural decrease between 2014 and 2015, Maine and West Virginia. Between 2014 and 2015, Maine had 450 more deaths than births and West Virginia had 940 more deaths than births. In both cases, natural decrease was one of the reasons why their populations shrank between 2014 and 2015 in our latest estimates.MigrationMigration is the movement of people from one area to another. It is often expressed as net migration, which is the difference between how many people move into and out of an area. When net migration is positive, a population has more people moving in than out. We split migration into domestic migration and international migration.Domestic migration refers to people moving between areas within the United States, and is often one of the largest contributors to population change. Regionally, the South gains the most net domestic migrants, with roughly 440,000 more people moving into southern states than leaving them between 2014 and 2015. Sometimes net domestic migration is negative, in which case more people are moving away than are moving in. The Chicago metro area in Illinois, Indiana, and Wisconsin lost about 80,000 people through migration between 2014 and 2015, which is consistent with a long-standing pattern of negative net domestic migration for the metro area.International migration refers to people moving into and out of the United States, and consists of a diverse group of people such as foreign-born immigrants from many countries around the world, members of the U.S. Armed Forces, and U.S. citizens working abroad. Some areas, like the Miami metro area in Florida, grow (in part) due to net international migration. Miami gained about 70,000 net international migrants between 2014 and 2015, making net international migration a major factor in Miami’s population growth.

A dataset listing Indiana cities by population for 2024.

Phytophthora sojae, the causal agent of Phytophthora root and stem rot of soybean, has been managed with single Rps genes since the 1960's, but has subsequently adapted to many of these resistance genes, rendering them ineffective. The objective of this study was to examine the pathotype and genetic diversity of P. sojae from soil samples across Illinois, Indiana, Kentucky, and Ohio by assessing which Rps gene(s) were still effective and identifying possible population clusters. There were 218 pathotypes identified from 473 P. sojae isolates with an average of 6.7 out of 15 differential soybean lines exhibiting a susceptible response for each isolate. Genetic characterization of 103 P. sojae isolates from across Illinois, Indiana, Kentucky, and Ohio with 19 simple sequence repeat markers identified 92 multilocus genotypes. There was a moderate level of population differentiation among these four states, with pairwise F_ST values ranging from 0.026 to 0.246. There was also moderate to high levels of differentiation between fields, with pairwise F_ST values ranging from 0.071 to 0.537. Additionally, cluster analysis detected the presence of P. sojae population structure across neighboring states. The level of pathotype and genetic diversity, in addition to the identification of population clusters, supports the hypothesis of occasional outcrossing events that allow for an increase in diversity and the potential to select for a loss in avirulence to specific resistance genes within regions. The trend of suspected gene flow among neighboring fields is expected to be an ongoing issue with current agricultural practices.

Datasets: DS0: Study-Level Files DS1: Illinois Great Lakes Anglers 2006-2015 DS2: Illinois Population 2006-2015 DS3: Illinois Total Anglers 2006-2015 DS4: Indiana Lake Michigan Anglers 2005-2015 DS5: Indiana_Population_2005-2015 DS6: Indiana Total Anglers 2005-2015 DS7: Lake Huron Anglers 2000-2014 DS8: Lake Huron Population 2000-2014 DS9: Lake Michigan Anglers 2000-2014 DS10: Lake Michigan Population 2000-2014 DS11: Lake Superior Anglers 2000-2014 DS12: Lake Superior Population 2000-2014 DS13: Michigan Great Lakes Anglers_2000-2014 DS14: Michigan Population 2000-2014 DS15: Michigan Total Anglers 2000-2014 DS16: Minnesota Lake Superior Anglers 2000-2016 DS17: Minnesota Population 2000-2016 DS18: Minnesota Total Anglers 2000-2016 DS19: Minnesota Trout Stamp Anglers 2000-2016 DS20: Wisconsin Great Lakes Anglers 1999-2014 DS21: Wisconsin Population 1999-2014 DS22: Wisconsin Total Anglers 1999-2014 Individuals who purchase any type of fishing license are counted as "anglers" by their state of residence. Estimates of the number of unique individuals who fish the Great Lakes and their tributaries, up to the first barrier, for salmon or trout are noted as "Great Lakes salmon/trout anglers" and are counted by both state of residence and by lake fished. The datasets include only in-state resident anglers; out-of-state residents are excluded. In some instances, the state Department of Natural Resources provided data that was already filtered by residency. When necessary, in-state residency was determined based on license type sold or zip code of residence. For the state of Michigan, a small number of observations (approximately 0.28 percent of records) were missing information that could be used to determine residency status, and these individuals were removed from the data. This collection includes estimates of the number of in-state resident recreational anglers from the states of Illinois, Indiana, Michigan, Minnesota, and Wisconsin. It also includes estimates of the smaller subset of anglers who fished the Upper Great Lakes (Lake Superior, Lake Michigan, or Lake Huron) or their tributaries for salmon/trout by state of residence and separately by lake fished. All estimates were broken down by year, single year of age, and sex. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. State residents eligible to obtain a fishing license (beginning at 16 or 18 depending on state regulations). Smallest Geographic Unit: State To facilitate investigations into angler demographics among the five Upper Great Lakes states. record abstracts

12011 population data for individuals 18 years and older in Canada was obtained from Statistics Canada [44].22010 population data for individuals 18 years and older in the US was obtained from the US Census Bureau [46].3Regions were:Midwest (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin);Northeast (Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont);South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, West Virginia);West (Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming).42006 education data for individuals 20 years and over in Canada (most current and available data) [43].52010 education data for individuals 18 years and over in the US [45].*Significant at p

Graph and download economic data for Employed Persons in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (LAUMT171698000000005) from Jan 1990 to May 2025 about Chicago, IL, IN, WI, household survey, employment, persons, and USA.

This collection includes estimates of the number of in-state resident recreational anglers from the states of Illinois, Indiana, Michigan, Minnesota, and Wisconsin. It also includes estimates of the smaller subset of anglers who fished the Upper Great Lakes (Lake Superior, Lake Michigan, or Lake Huron) or their tributaries for salmon/trout by state of residence and separately by lake fished. All estimates were broken down by year, single year of age, and sex.

Human population estimates for the year 2000 from U.S. Census data for Michigan, Wisconsin, Minnesota, Illinois, Indiana, Ohio, Pennsylvania, and New York

Human population estimates for the year 2010 from U.S. Census data for Michigan, Wisconsin, Minnesota, Illinois, Indiana, Ohio, Pennsylvania, and New York

This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

The NCR-Stat: Baseline Survey is the first of NCRCRD’s regional household surveys and includes questions related to topics crucial for household and community development and wellbeing. All data gathered via the NCR-Stat Baseline Survey will be available for those who would like to use the data as a baseline for further research and extend the portfolio of already existing databases.The NCR-Stat: Baseline Survey is a 20-minute survey designed to provide a baseline from a social and economic perspective. The survey focuses solely on households in the NCR states and asks questions about household demographics, income, workforce participation, entrepreneurship, caregiving, human capital, housing, broadband access, placemaking, community leadership, and civic engagement, health and wellness, food security, and environment.The primary purpose of this initial survey is to get a better picture of the NCR and learn more about respective topics. The Baseline Survey is also a starting point for following surveys on specific thematic areas.To collect the necessary data, we designed an online survey using Qualtrics. The goal was to maximize participation in the survey throughout the states, across rural and urban areas, household types, and race and ethnicity.Qualtrics® distributed the survey and gathered data based on pre-defined sampling quotas and screening questions. Based on the population characteristics of each NCR state, Qualtrics® applied two different data gathering methods. An online survey was distributed to households in Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Ohio, and Wisconsin. A mixed-method approach (online panel and Computer Assisted Telephone Interviewing – CATI) was used in Nebraska, North Dakota, and South Dakota.

This file contains COVID-19 death counts and rates by jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.

Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.

The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.

Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia.

Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.

The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.

Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

Mortality and CEMP rates and CEMP ratios by age and race/ethnicity for Wisconsin, Indiana, and Illinois.

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