- What is the Percent who did not finish the 9th grade?
- What is the High School Graduation Rate?
- What is the Percent with an associate's degree?
- What is the Percent with a graduate or professional degree?
- What is the Population Count?
- What is the Population Density?
- What is the Land Area?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Mean Job Proximity Index?
The college graduation rate of Orange County, NC was 55.80% in 2013.
Education and Graduation Rates Datasets Involving Orange County, NC
- API www.forsythfutures.org | Last Updated 2016-02-16T16:37:34.000Z
This dataset is for 2014 only. It includes a racial breakdown of the percentage of residents with associate's degrees or higher for the following geographical areas: United States, North Carolina, and 5 major urban NC counties. The estimates here refer to populations age 25+ with at least an Associate's degree.
- API www.forsythfutures.org | Last Updated 2016-02-16T16:36:37.000Z
This dataset includes information on the educational attainment of those living in North Carolina and NC's major urban counties (Durham, Forsyth, Guilford, Mecklenburg and Wake). The only year included in the dataset is 2014.
Forsyth Futures: Infant Health, Low Birthweight Rate with Educational Attainment of Mother, Forsyth County, 2014www.forsythfutures.org | Last Updated 2016-02-16T16:41:21.000Z
This dataset includes rate of babies born at a low weight categorized by the highest level of education attained by the mother.
- API www.forsythfutures.org | Last Updated 2016-02-16T16:58:48.000Z
This dataset includes information about the percent of students in varying demographic categories that reach proficiency level for the ACT. This dataset includes the following counties: Durham, Forsyth, Guilford, Mecklenburg, and Wake.
RSBS SMO: Part 1 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Surveydata.ny.gov | Last Updated 2018-08-07T22:17:39.000Z
This is part 1 (contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling) of 2; part 2 (https://data.ny.gov/d/87mp-9bnv) contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment. 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 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.
RSBS: Single Family On-Site Inspections, Measure Level, New York State Residential Statewide Baseline Studydata.ny.gov | Last Updated 2018-08-07T22:40:00.000Z
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.