Size and characteristics of the District of Columbia PAS workforce, 2005-07

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Size and characteristics of the PAS workforce in District of Columbia.

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Size and characteristics of the District of Columbia PAS workforce, 2005-07
Annual earnings
	Number of PAS workers	Percent of PAS workers

Total	2,900	100.0

Gender
Male	500†	15.6†
Female	2,500	84.4

Average age (years)	42.8

Race/ethnicity
White	400	12.0
African American	2,500	86.6
Asian/Pacific Islander	—†	0.8†
Native American	—†	—†
Latino/Hispanic	200†	5.2†

Birthplace
United States, incl. territories	1,500	51.4
Other countries	1,400	48.6

Family income
< Federal Poverty Level	900†	29.0†
< 200% Federal Poverty Level	1,400	47.3

Type of worker
Home health or nursing aide	1,700	57.2
Personal or home care attendant	1,000	33.5
Other	300†	9.2†

Type of employment
Self-employed	300†	8.6†
Works for employer	2,700	91.4
Full-time workers (≥35 hrs/week)	2,300	79.7
Steadily employed (≥50 weeks/yr)	1,700	56.7


Worker type	Median (2007 dollars)
All workers	$18,300
Full-time year-round workers	$28,500

Consumer-to-worker ratio

Region	No. with ADL difficulty per PAS worker
District of Columbia	5.3
National average	7.3

† Estimate has low statistical reliability (standard error is greater than 30% of estimate).
— Estimate is less than 50 people or 0.05 percent.

These estimates are based on an analysis conducted by the Center for Personal Assistance Services of a three-year combined sample of data from the U.S. Census Bureau's American Community Survey. PAS workers were identified according to both their occupation and industry of employment ( for details, see Kaye, H. S., Chapman, S., Newcomer, R. J., & Harrington, C. (2006). The Personal Assistance Workforce: Trends in supply and demand. Health Affairs, 25(4), 1113-1120). Because many PAS workers may not report this work to the Census Bureau as their primary occupation, the statistics presented probably underestimate the true number of workers in each state.

The number of workers by race and ethnicity may add up to more than the total for two reasons:

people can identify multiple races, in which case they are listed in more than one category, and
people identifying as Latino/Hispanic are also listed in a racial category (for example, white or African American).

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