ࡱ> Z\YM 24bjbj== "NWW-l 8  ,J,2J (r " +++++++$|- /+ " + +, 8  + +)+ > zC$ }*+,0J,*6@0l@0+Census 2000 Summary File 1 Data for ӣƵ HIGHLIGHTS  Unmarried Partner Households In addition to couples identifying themselves as married, a householder may identify the person he or she is cohabitating with as an unmarried partner. These numbers may underrepresent the true number of cohabitating couples because some respondents may have been reluctant to classify themselves as cohabitating in a personal interview situation and may have described themselves as roommates, housemates, or friends not related to each other. In both the 1990 and 2000 censuses, the "spouse" and "unmarried partner" response categories were defined and asked the same way. However, there were important differences in data processing that limit the comparability of same-sex unmarried partners between these two censuses. In both censuses, if a person was identified as the "spouse" of the householder and was the same sex as the householder, the "spouse" response was flagged for further review and allocation, that is, assignment of a value other than that originally reported, based on other data on the form. In 1990, the edit and allocation procedures did not allow same-sex "spouse" combinations to occur, thus resulting in the allocation of one of these two items in order to achieve editing consistency among the responses. Processing steps were changed for Census 2000 for households which contained same-sex "spouses". If the person with the "spouse" category was the same sex as the householder, and if neither person had their sex previously allocated, a relationship response of "spouse" was allocated as an "unmarried partner" response. Taking these qualifications into consideration, the characteristics of these partners are examined here: The states unmarried partner households (+58.6%) increased substantially faster than all households (+9.7%) between 1990 and 2000 in ӣƵ. In 2000, there were 151,300 households that were classified as unmarried-partner households, representing 4.9% of all households in ӣƵ. In 1990, about 3.4% of ӣƵ households were classified as unmarried partner households. About 89% or 134,700 of those unmarried partner households were male-female (opposite sex) while 16,600 or 11% were same sex partner households. In comparison, about 3.7% of unmarried partner households in 1990 were identified as same sex partners. The 11% same sex partner households in 2000 were split equally between male-male (5.5%) and female-female (5.5%) unmarried partner households. Essex County (16,200) had more unmarried partner households than any other county in the state in 2000. Hudson (14,100), Middlesex (12,000), Camden (11,300) and Bergen (11,200) filled out the top five ranking. In terms of percentage of total households, Atlantic (6.8%), Camden (6.1%) and Hudson (6.1%) counties had the highest percentage of unmarried partner households. Not surprisingly, the largest municipalities (Newark, Jersey City, Paterson, Elizabeth) also had the largest numbers of unmarried partner households. In terms of percentages, Fieldsboro borough (Burlington County), Commercial township (Cumberland County), Seaside Heights borough (Ocean County), Pleasantville city (Atlantic County) and Camden city (Camden County) all had more than 10% unmarried partner households versus 4.9% for the state. Family Characteristics The states families headed by a single parent (+16.6%) increased more than four times as fast as married-couple families (+3.8%) in the past decade. Male-headed families, no spouse present, increased by 24% while female-headed families increased by 14.3%. Female-headed families made up 75% of all single-parent families. Married couple families comprised 76% of all family households in ӣƵ according to the 2000 Census figures, a drop from 78.1% in 1990. The largest share of families in ӣƵ were married couple families without own children under 18 (40%). While the number of married-couple families with own children increased moderately (9.7%) during the 1990s, the single-parent families with own children had a substantial growth. The male- and female-householders with own children increased 50.4 percent and 23.1 percent, respectively, in ӣƵ from 1990 to 2000. Elderly Population Population 85 years old and over was the fastest growing age group in ӣƵ during the 1990s (+42.3%). Number of persons 100 years old and over also increased substantially from 1,127 in 1990 to 1,514 in 2000 (+23.4%), representing the continuation of the ever-increasing longevity of the states residents. Approximately 40 percent of the states centenarians resided in four counties: Bergen (190 persons), Essex (180 persons), Ocean (120 persons) and Union (115 persons). Group Quarters Population by Type of Facility All people not living in housing units are classified by the Census Bureau as living in group quarters. There are two general categories of people in group quarters: (1) institutionalized population and (2) noninstitutionlized population. Institutionalized population includes people under formally authorized, supervised care or custody in institutions at the time of enumeration. Major categories of institution are: correctional institutions (prisons, jails, halfway houses, etc.), nursing homes, and juvenile institutions. Noninstitutionalized population includes people who live in group quarters other than institutions. They include people enumerated in college dormitories, military quarters, group homes, religious group quarters, etc. The part of ӣƵs population that were living in group quarters facilities increased by 13.7 percent, from 171,368 in 1990 to 194,821 in 2000. The increase in the states household population was 8.7 percent during the same time period. The number of institutionalized persons grew at a faster pace (+18.9%) than non-institutionalized persons (+7.6%) from 1990 to 2000 in ӣƵ. Burlington County added more institutionalized population (+4,792 or 67.8%) than any other county in the state, while Cumberland County led the rate of increase (+72.7% or 4,395 persons) during the past decade. The largest increase in the noninstitutionalized population (+3,727) occurred in Mercer County while Burlington County had the largest loss in noninstitutionalized population (- 4,776) in the 1990s. Essex Countys Newark City led the state in the number of institutionalized population in 2000, as a result of having the highest number of nursing home residents (2,420) and second-highest number of correctional facility inmates (4,298) in the state. Correctional facility inmates increased dramatically during the 1990s in Burlington Countys New Hanover Township (from 548 in 1990 to 4,836 in 2000) and Cumberland Countys Bridgeton City (from 420 in 1990 to 4,048 in 2000) due to the opening of a federal penitentiary and a state prison, respectively. The closing of a county prison caused the incarcerated population to drop to zero (from 456 in 1990) in Hudson Countys Jersey City. Mercer Countys Princeton Borough had the largest noninstitutionalized population in 2000 (6,644) due primarily to its college dormitory residents. College dormitory residents increased substantially between 1990 and 2000 in Essex Countys Newark City (from 1,139 to 3,351) and Mercer Countys Princeton Borough (from 4,700 to 6,628) and Ewing Township (from 2,413 to 3,486). Middlesex Countys New Brunswick City and Piscataway Township had the highest number of college dormitory residents in 1990, but experienced a decline of their dormitory population during the 1990s. (New Brunswick from 6,774 to 5,747, Piscataway from 6,525 to 3,511) Despite the partial closure of a military base, Burlington Countys New Hanover Township still had the states largest military quarters population in 2000 (1,223, down from 6,356 in 1990). Monmouth Countys Colts Neck Township became the municipality with the second highest military quarters population due to a substantial increase of military personnel during the 1990s (from 219 in 1990 to 1,210 in 2000). Monmouth Countys Middletown Township and Eatontown Borough experienced a substantial decline in military quarters population between 1990 and 2000. (Middletown from 1,057 to 23, Eatontown from 613 to 0) Cumberland Countys Vineland City led the states group homes population growth during the 1990s (from 60 to 1,119), and became the states number one municipality in terms of group homes population in 2000. Hispanic (or Latino) by Specific Origin Puerto Rican remained the largest Hispanic group in ӣƵ with a population of 366,788 in 2000, followed by Mexicans (102,929). Although declining from 85,378 in 1990 to 77,337 in 2000, ӣƵs Cuban population ranked fourth among the states Hispanics. (See the aforementioned  HYPERLINK "http://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html" ӣƵ Economic Indicators article.) Other than these three major groups, Dominicans, Colombians, Ecuadorians and Peruvians also had substantial representations in the states Hispanic population according to Census 2000. With a headcount of 102,630, persons originating from the Dominican Republic were the third largest Hispanic group in ӣƵ as of April 1, 2000. More than two-thirds (67.4%) of the states Dominicans resided in three counties Hudson (27,709), Passaic (26,954) and Middlesex (14,484). Passaic Countys Paterson City had the highest number of Dominicans (15,331) among the states 566 municipalities, followed by Hudson Countys Jersey City (9,186) and Middlesex Countys Perth Amboy City (8,897). Colombians were the fifth largest Hispanic group in ӣƵ as of 2000. Their number increased from 52,210 in 1990 to 65,075 in 2000. Hudson County had the largest number of Colombians (12,843), followed by Union County (11,423) and Bergen County (11,161). Union Countys Elizabeth City had more Colombians (7,793) than any other municipality in the state. With a count of 5,110, Passaic Countys Paterson City ranked second in number of Colombians. Approximately 57 percent of the states 45,392 Ecuadorians resided in Hudson County (15,396) and Essex County (10,487), as of 2000. Essex Countys Newark City led the states Ecuadorian population (7,611), followed by Hudson Countys Union City (3,984) and Jersey City (3,920). Peruvian was another Hispanic group with at least 30,000 population in ӣƵ as of 2000. One of every two of the states 37,672 Peruvians resided in Passaic County (11,543) and Hudson County (7,440). Passaic Countys Paterson City had the largest number of Peruvians (7,038). Elizabeth Citys (Union County) 2,830 Peruvians ranked second the in the state. Asian by Specific Origin Other than the six major Asian groups Asian Indian, Chinese, Filipino, Korean, Vietnamese and Japanese (see the aforementioned article in the July 20001 issue of the  HYPERLINK "http://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html" ӣƵ Economic Indicators), Pakistani was the only Asian group with more than 10,000 population in ӣƵ as of 2000. About 55 percent of the states Pakistani population resided in Middlesex County (3,131), Hudson County (2,378) and Bergen County (1,191). Hudson Countys Jersey City (1,877) was the only ӣƵ municipality with a Pakistani population exceeding 1,000 although Middlesex Countys Edison Township (671) and Woodbridge Township (619) also had noticeable numbers of Pakistanis. Prepared by: ӣƵ Department of Labor, Division of Labor Market and Demographic Research, August 2001. PAGE  PAGE 1 Part of the Census 2000 Summary File 1 (SF1) data for ӣƵ was released to the public on May 23, 2001, as the Profile of General Demographic Characteristics. Highlights from those data were published in the July 2001 issue of the  HYPERLINK "http://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html" ӣƵ Economic Indicators (pages 9-24). The following highlights were prepared based on additional SF1 data that are not included in the Profile of General Demographic Characteristics.  :; !8v 8:>@&&2'3'4'R'S'e.~.'/(//////1112222 2 22222202>22233m30JmHnHu0J j0JUCJj%6U] 5>*\ 0J6]j6U]j6U] 5>*\5\6]mH sH jCJUmHnHu6]:/:<=>?@ABCDEb !87 w s t  & Fh`hh`h^ h^`h $@]@^a$[$\$1214t c d ef"#:; & Fh^h^ & F & F=">"$$~%%%%((**[$\$  & F[$\$^^ h^h & F*++,,d.e.~..111112 2 22222&`#$`[$\$^`` h[$\$^h  & F[$\$[$\$  & F[$\$m3n3o3333-4246] 0J6]j6U]jJ6U]2/4041424[$\$&$$d!%d$&d!'d$N!O$P!Q$a$ 1h/ =!"#$%%DyK yK http://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html%DyK yK http://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html%DyK yK http://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html i8@8 NormalCJ_HaJmH sH tH 6@6 Heading 1$@& 5>*\>@> Heading 2$h@&^h 5>*\>@> Heading 3$@&^ 5>*<A@< Default Paragraph Font:^@: Normal (Web)dd[$\$*>@* Title$a$5\.J@. Subtitle$a$>*BC@"B Body Text Indent h^h6]"W@1" Strong5\NR@BN Body Text Indent 2 h`h6]mH sH ,R, Header  !, @b, Footer  !&)@q& Page Number,B@, Body Text6].U@. Hyperlink >**2020/:<=>?@ABCDEb !87wstcd e f " # : ; => ~!!!!$$&&''((d*e*~**----- ..../0003000000000000000E0E0E0E0E0E0E 0E0E 0E0E 0E0E 0E0E 0E0E 0E0E00#  0# 0#  0# 0#  0# 0# 0# 0 000000000 00 00 00 00 00 00 00(00! 00s! 00s! 00s! 0s!0s! 00s!0s!0s! 00000@0@0@0 000 m324%t *224 "#$&14!"3#R#'+++20XX !!VuX8@(  H  #  B S  ?:20 !dt !78vSg-..30!7867v@=E|6>/)9)++-..30333333LQh!i!"" "+","""""S########### $ $>$J$g$j$&&&&&"&_&d&Y)[)))'++ - -w-----30lapgoet;C:\WINDOWS\Temporary Internet Files\OLKA230\sf1 hilites.doc Sen-Yuan WuD:\C2K\SF1\sf1 hilites.doc Sen-Yuan WuD:\C2K\SF1\sf1 hilites.doc Sen-Yuan WuD:\C2K\SF1\sf1 hilites.doc Sen-Yuan WuD:\C2K\SF1\sf1 hilites.doc Sen-Yuan Wu_C:\WINDOWS\Profiles\Lapwuu\Application Data\Microsoft\Word\AutoRecovery save of sf1 hilites.asd Sen-Yuan Wu_C:\WINDOWS\Profiles\Lapwuu\Application Data\Microsoft\Word\AutoRecovery save of sf1 hilites.asd Sen-Yuan Wu_C:\WINDOWS\Profiles\Lapwuu\Application Data\Microsoft\Word\AutoRecovery save of sf1 hilites.asd Sen-Yuan Wu_C:\WINDOWS\Profiles\Lapwuu\Application Data\Microsoft\Word\AutoRecovery save of sf1 hilites.asdFrank Ferdetta-C:\Labor Fast Facts\lmi25\sf1\sf1 hilites.dock,4J x6" *:8& 4DF\9N6j0QNd4zF~h hh^h`OJQJo(h 88^8`OJQJo(oh ^`OJQJo(h   ^ `OJQJo(h   ^ `OJQJo(oh xx^x`OJQJo(h HH^H`OJQJo(h ^`OJQJo(oh ^`OJQJo(h 88^8`OJQJo(h ^`OJQJo(oh   ^ `OJQJo(h   ^ `OJQJo(h xx^x`OJQJo(oh HH^H`OJQJo(h ^`OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh pp^p`OJQJo(h @ @ ^@ `OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh PP^P`OJQJo(h ^`OJQJo(h ^`OJQJo(oh pp^p`OJQJo(h @ @ ^@ `OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh PP^P`OJQJo(h ^`OJQJo(h ^`OJQJo(oh pp^p`OJQJo(h @ @ ^@ `OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh PP^P`OJQJo(h ^`OJQJo(h ^`OJQJo(oh pp^p`OJQJo(h @ @ ^@ `OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh PP^P`OJQJo(h ^`OJQJo(h ^`OJQJo(oh pp^p`OJQJo(h @ @ ^@ `OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh PP^P`OJQJo(h ^`OJQJo(h ^`OJQJo(oh pp^p`OJQJo(h @ @ ^@ `OJQJo(h ^`OJQJo(oh ^`OJQJo(h ^`OJQJo(h ^`OJQJo(oh PP^P`OJQJo( 4&J k,9Nd4z0Q6"                                                                         @--jW--20`@UnknownG:Times New Roman5Symbol3& :Arial?5 :Courier New;Wingdings"qhWjX&sXFlX& %P!20d. 2Q%Census 2000 Summary File 1 Highlights David JoyeFrank Ferdetta Oh+'0 4@ \ h t &Census 2000 Summary File 1 Highlightst ens David Joye aviavi Normal.dot Frank Ferdettam11nMicrosoft Word 9.0 @L@8 5$@R#@%$% ՜.+,D՜.+,T hp  NJDOLwP. &Census 2000 Summary File 1 Highlights Title 8@ _PID_HLINKSAZhttp://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.htmlZhttp://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.htmlZhttp://www.wnjpin.state.nj.us/OneStopCareerCenter/LaborMarketInformation/lmi07/index.html  !"#$%&')*+,-./123456789:;<=>?@ABCDEFGHJKLMNOPRSTUVWX[Root Entry FC$]Data (1Table0@0WordDocument"NSummaryInformation(IDocumentSummaryInformation8QCompObjjObjectPoolC$C$  FMicrosoft Word Document MSWordDocWord.Document.89q