Laserfiche WebLink
The data in Table 5 are mixed, in Berkeley, the number of households headed by females with <br />no husband present is declining for all racial and ethnic groups. Black females appear to be <br />the most seriouslyaffected . For Santa Monica, the data are quite different. Female households <br />are increasing for all racial and ethnic categories.: <br />PERCENT CHANGE IN FEMALE HOUSEHOLDERS WITH NO HUSBAND PRESENT <br />Rental and Ownership Households <br />Berkeley vs. Alameda County <br />Santa Monica vs. Los Angeles County <br />19wi 990 <br />Racial and <br />1960.1990 Percent Change <br />Alameda <br />Santa <br />Los Angeles <br />Ethnic Categories` <br />Berkeley <br />County <br />Monica <br />County <br />Total Female Householders <br />-2,201. <br />5.9% <br />7.3% <br />31% <br />White Female Householders <br />-3.8 <br />10.8 <br />3:1 <br />110 <br />Black Female Householders <br />-7,8 <br />-BA <br />2.5 <br />1.0 <br />Hispanic Female Householders <br />•5.4 <br />-12:5 <br />2.9 <br />6.8 <br />categories Asian and Other not included in N6 table. The racial and ethnic designation applies to head vt household only, <br />not to total family members, <br />souices. 1980 U.S. Census; Table 9ri, $TE 3. <br />I"D US, census; Table Pt 7, STS -3 a. <br />Two factors should be considered when reviewing these data. first, the data are for total <br />households, as racial and ethnic data for renters only were not available in theSTF-3 data. The <br />data already examined suggest that the impact of rentcontrol would fie more negative if renter - <br />only data were available. <br />Also, income data indicate that households with lower annual incomes are declining in bath <br />cities. Since female -headed households with no husbands present usually have lower annual <br />incomes, it can be suggested that the declines would be greater for renters than for the total <br />population. <br />The data for the cities and their counties are quite different also. if the county data represents <br />the meant activity for all persons in these categories, the data show that the subject cities are <br />exhibiting quite different characteristics. Thus, not only Is household composition being <br />affected, the data show thateconomic and, i n some cases, cultural diversity are being affected <br />also. <br />State Unrverstty—Raol Estate & land. Use Institute <br />