The population density of Androscoggin County, ME was 229 in 2017. The population density of Penobscot County, ME was 45 in 2017. The population density of St. Lawrence County, NY was 41 in 2017.
Geographic and Population Datasets Involving Androscoggin County, ME or St. Lawrence County, NY or Penobscot County, ME
- API data.ny.gov | Last Updated 2019-06-10T18:02:02.000Z
This is a current listing of participating State of New York Mortgage Agency (SONYMA) lenders, their main office addresses and phone numbers, their websites, the SONYMA regions they service and the regional contact phone number.
- API data.ny.gov | Last Updated 2019-06-10T18:02:43.000Z
Long-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.
- API data.ny.gov | Last Updated 2019-06-10T18:02:44.000Z
Short-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.
- API data.ny.gov | Last Updated 2019-06-10T18:02:08.000Z
This dataset is a listing of congregate and home delivered meals served 1974 to the present by the network of Area Agencies on Aging (AAAs). AAAs - local offices for the Aging - provide services at senior center locations either directly or through subcontracts. Services may include but are not limited to congregate meals, health promotion, educational programs, recreation, etc.
- API data.ny.gov | Last Updated 2019-06-10T18:02:38.000Z
This data set contains the address and phone number information for voluntary provider agencies of the following Office for People with Developmental Disabilities (OPWDD) supports and services: Intermediate Care Facilities (ICFs), Individual Residential Alternative (IRAs), Family Care, Self-Direction Services, Individual Support Services (ISSs), Day Training, Day Treatment, Senior/Geriatric Services, Day Habilitation, Work Shop, Prevocational, Supported Employment Enrollments, Community Habilitation, Family Support Services, Care At Home Waiver Services, and Developmental Centers And Special Population Services. The State sector district offices (DDSOs) have remained in the Developmental Disabilities Service Provider Agencies data because they too are identified by a provider agency code that identifies the voluntary providers.
- API data.ny.gov | Last Updated 2019-06-10T18:01:19.000Z
The overall goal of New York's College Access Challenge Grant (CACG) is to increase the number of low-income, minority and underserved students who are prepared to apply for, get accepted to and succeed in college, with a priority on families living below the poverty-level.This data includes the names of the organizations that received CACGP sub-grants during the Award Period, the number of students and families that received (or will receive) services from the sub-grantee, and the grant amount awarded to each organization.
NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015data.ny.gov | Last Updated 2019-11-15T22:30:02.000Z
How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
- API data.ny.gov | Last Updated 2020-01-22T17:11:58.000Z
This dataset contains annual production information of oil and gas wells in New York State from 2001 to present.
RSBS: Single Family On-Site Inspections, Site-Level, New York State Residential Statewide Baseline Studydata.ny.gov | Last Updated 2019-11-15T22:01:57.000Z
How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data collected from a total of 700 on-site inspections of single family buildings. The types of data collected during the inspections covers property characteristics, heating and cooling equipment, water heating equipment, appliances, lighting, clothes washing and drying, miscellaneous energy using equipment, and observable operating behavior. The objective of the inspections was to enhance the residential baseline study with detailed on-site information and, to the degree possible, verify self-reported data from the phone and web surveys.