- What is the Population Count?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Mean Job Proximity Index?
- What is the Number of Employees?
- What is the Percent Without Health Insurance?
- What is the Mean Environmental Health Hazard Index?
- What is the Access to Exercise Opportunities Rate?
The population density of Baltimore County, MD was 1,380 in 2016.
Geographic and Population Datasets Involving Baltimore County, MD
- API data.maryland.gov | Last Updated 2018-07-05T12:32:48.000Z
Population profile - total, rate of change, age, and density.
- API data.maryland.gov | Last Updated 2017-05-31T15:27:53.000Z
Resident population density for Maryland and Jurisdictions per square mile from 2010 to 2016. Source: U.S. Bureau of Census
- API data.maryland.gov | Last Updated 2017-05-30T19:16:53.000Z
Total Change in Resident Population in Maryland and its Jurisdictions by year from 2000 to 2016
- API opendata.howardcountymd.gov | Last Updated 2015-04-29T18:08:53.000Z
Statistical information regarding inmate population by year and month. Included average daily inmate population, number of meals served, number of admissions, number of releases, immigration detainee average population and U.S. Marshall detainee
- API data.maryland.gov | Last Updated 2018-06-21T12:55:44.000Z
The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.
- API data.maryland.gov | Last Updated 2017-05-30T19:36:06.000Z
Domestic Migration in Maryland and its Jurisdictions from 2000 to 2016. Domestic migration will also include the net change in group quarters population, source: Population Division, U.S. Census bureau, March 2017.
- API data.maryland.gov | Last Updated 2017-05-30T19:36:51.000Z
Maryland International Migration from 2000 to 2016, which includes net foreign-born international migration, net movement to/ from Puerto Rico, net Armed Forces movement and native emigration. Source from the Population Division, U.S. Census Bureau, March 2017.
- API data.maryland.gov | Last Updated 2017-05-30T19:47:13.000Z
Maryland Total (International and Domestic) Migration from 2000 to 2012. Source from the Population Division, U.S. Census Bureau.
- API data.maryland.gov | Last Updated 2017-11-28T21:33:27.000Z
Historical crime rates per 100,000 people, 1975 - present. In June 2017 we changed the update frequency of this dataset from annual to as-needed because sometimes there is a lag that is often 6 months after the annual date before the new data is available.
- API data.cdc.gov | Last Updated 2018-06-04T12:49:09.000Z
This dataset contains model-based county estimates for drug-poisoning mortality. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8). REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html. 3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013. 4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014. 5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf. 6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e. 7. National Center for Health Statistics. County geog