Financial overview and grant giving statistics of Ace Mentor Program of the Greater Washington Metropolitan Area Inc.

Total nonfarm employment for the Washington-Arlington-Alexandria, DC-VA-MD-WV, metropolitan area increased by 78,000 over the year in September,the local rate of job gain, 2.4 percent, compared to the 2.1-percent national increase. Washington-Arlington-Alexandria, DC-VA-MD-WV, is made up of two metropolitan divisions—separately identifiable employment centers within the greater metropolitan area. Washington-Arlington-Alexandria, DC-VA-MD-WV, division, with 82 percent of the metropolitan area’s total nonfarm employment, added 70,100 jobs from September 2022 to September 2023. The Silver Spring-Frederick-Rockville, MD, division accounted for 18 percent of the area’s employment and had an employment level of 601,600 in September 2023. In Washington-Arlington-Alexandria, DC-VA-MD-WV, education and health services had the largest gain (+20,500) among the metropolitan area’s private-industry supersectors, with both divisions recording increases. Much of the employment gain in this supersector was concentrated in the health care and social assistance sector (+15,800).

The Metropolitan Washington Council of Governments/National Capital Region Transportation Planning Board periodically conducts regional household travel surveys to monitor changes in daily travel and to gather information on the demographic, socioeconomic, and trip-making characteristics of Washington, D.C.-area residents. Information collected in the 1968 Home Interview Survey was an important component in the development of regional travel demand forecasting models used to predict changes in daily travel in response to current development trends and changes in regional transportation policies and programs. The survey sampled 26,000 households residing in six jurisdictions comprising the greater Washington, D.C. region (an approximately 1-in-20 sample).

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study includes data collected with the purpose of creating an integrated dataset that would allow researchers to address significant, policy-relevant gaps in the literature--those that are best answered with cross-jurisdictional data representing a wide array of economic and social factors. The research addressed five research questions: What is the impact of gentrification and suburban diversification on crime within and across jurisdictional boundaries? How does crime cluster along and around transportation networks and hubs in relation to other characteristics of the social and physical environment? What is the distribution of criminal justice-supervised populations in relation to services they must access to fulfill their conditions of supervision? What are the relationships among offenders, victims, and crimes across jurisdictional boundaries? What is the increased predictive power of simulation models that employ cross-jurisdictional data?

This special topic poll, fielded January 27-31, 2005, was undertaken to assess public opinion on traffic congestion in the Washington, DC, area. Respondents who commuted in the greater Washington, DC, area were asked about traffic conditions in the region, their primary means of transportation to and from work, the length of their commute, what they liked and disliked most about their commute, and whether they had ever relocated or adjusted their work schedule to improve their commute. Those polled rated the different types of public transportation available in the area, how often they used the Metrorail subway system, and why they did not ride it more often. Views were sought on proposals to expand the Metrorail system and build new highways in the area, sources of funding for transportation projects, and whether measures such as high occupancy vehicle lanes, adjustable tolls, and building new roads were effective in easing traffic congestion. Respondents were also asked about the type of vehicle they drove, how often they traveled by car, how much time they spent driving, and how often driving invoked feelings such as independence, relaxation, and anger. A series of questions asked respondents how often they and others were guilty of behaviors such as speeding or road rage, and whether they engaged in activities such as eating or reading while driving. Additional topics addressed the use of automatic cameras at traffic lights and stop signs and whether existing traffic laws were too tough on teenage drivers. Demographic variables included sex, age, race, household income, education level, and political party affiliation.