The population density of Garrett County, MD was 46 in 2017. The population density of Yates County, NY was 74 in 2017.
Population Density
Population Density is computed by dividing the total population by Land Area Per Square Mile.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Population Datasets Involving Garrett County, MD or Yates County, NY
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Maryland Resident Population Per Square Mile: 2010-2020
opendata.maryland.gov | Last Updated 2024-03-11T18:51:03.000ZResident population density for Maryland and Jurisdictions per square mile from 2010 to 2020. Source: U.S. Bureau of Census
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Current Season Spring Trout Stocking
data.ny.gov | Last Updated 2024-03-18T19:40:19.000ZDEC stocks close to 2 million catchable-size brook, brown, and rainbow trout in over 309 lakes and ponds and roughly 2,900 miles of streams across the state each spring. This dataset represents the planned stocking numbers, species and time of spring for those waters for the current fishing season. The current stocking data is updated annually in mid-March.
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Deer Tick Surveillance: Adults (Oct to Dec) excluding Powassan virus: Beginning 2008
health.data.ny.gov | Last Updated 2024-05-01T18:05:44.000ZThis dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.
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Deer Tick Surveillance: Nymphs (May to Sept) excluding Powassan virus: Beginning 2008
health.data.ny.gov | Last Updated 2024-05-01T18:07:53.000ZThis dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen. Nymph deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide nymph tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.
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Earned Income Tax Credit (EITC) Claims by Credit Type and Size of Earned Income: Beginning Tax Year 1994
data.ny.gov | Last Updated 2024-02-08T14:28:09.000ZThe Department of Taxation and Finance (the Department) annually publishes statistical information on the New York State earned income tax credit (EITC). This includes data on the separate New York City EITC and the New York State noncustodial parent EITC. Summary data are presented for all taxpayers which includes full-year New York state residents, part-year residents and nonresidents (where applicable). Data are shown for the total number of claimants and credit claimed by county and/or region for all filing statuses.
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Index, Violent, Property, and Firearm Rates By County: Beginning 1990
data.ny.gov | Last Updated 2023-09-05T12:26:49.000ZThe Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.
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Unemployment Insurance Beneficiaries and Benefit Amounts Paid: Beginning 2001
data.ny.gov | Last Updated 2024-09-16T14:46:32.000ZDataset contains monthly counts, from 2001 to present, of individuals receiving regular unemployment insurance benefits, as well as the total amount of benefits received from New York State. Data are provided for the state, 10 labor market regions, and counties. State counts can include everyone who receives benefits through New York State (including out-of-state residents) or only state residents who do so (excluding out-of-state residents). Regular unemployment insurance includes: Unemployment Insurance (UI) Compensation, Compensation for Federal Employees (UCFE), Unemployment Compensation for Ex-Service Members (UCX), Shared Work (SW) and Self Employment Assistance Program (SEAP). It excludes federal extensions and 599.2 training.
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Long-term Industry Projections
data.ny.gov | Last Updated 2023-06-30T17:36:30.000ZLong-term Industry Projections for a 10 year time horizon are provided for the state and 10 labor market regions to provide individuals and organizations with an industry outlook.
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Short-term Industry Projections
data.ny.gov | Last Updated 2024-03-06T19:36:11.000ZShort-term Industry Projections for a 2 year time horizon are provided for the state and 10 labor market regions to provide individuals and organizations with an industry outlook.
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MD COVID-19 - Cases per 100K population, by jurisdiction
opendata.maryland.gov | Last Updated 2024-09-24T16:36:40.000Z<b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The rate of confirmed COVID-19 cases among Marylanders per 100,000 people in each Maryland jurisdiction. <b>Description</b> The MD COVID-19 cases per 100K population, by jurisdiction layer is the rate of confirmed daily COVID-19 cases among Marylanders per 100,000 people in each Maryland jurisdiction. This rate is a 7-day average, calculated using the CasesByCounty layer and the 2019 estimated county populations (Maryland Department of Planning). Any negative value may be attributed to changes in reporting by jurisdiction. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.