ࡱ>  lbjbj jjb;l  DLLLlM<MI\@OPOLOOOOOO[[[[[[[] _[uOOOOO[OOO\OOOOOO[OO[OnOBP:xS,SO4O CQ<LOS S\0I\S `O`SO SEQ CHAPTER \h \r 1 The current directory (/pub/outgoing/acsc2k) contains state sub-directories with the two-character postal abbreviation as the directory name and a sub-directory /docs/ containing documentation. There is one directory for each state that contains one or more ACS test counties. Inside the state directory you will find the directory for each ACS test county with the county name as the name of the directory. The files described below are inside these county-level directories. For example, the data for Jefferson County, Arkansas, is in directory /pub/outgoing/acsc2k/AR/Jefferson_County. File Names (SS is the two digit state FIPS code and CCC is the three digit county FIPS code) ACS 3-Year versus Census Profile-Table Estimate Comparisons See Table A. in section II for a list and descriptions of these files variables. ACS_census_cmp_SSCCC.csv Spreadsheet-ready ASCII files that contain both county-level and tract-level comparisons of ACS 3-year and Census profile-table estimates, for state SS and county CCC, using the FIPS state and county codes. change_SSCCC.sas7bdat SAS version 8 data sets that contain both county-level and tract-level comparisons of ACS 3-year and Census profile-table estimates, for state SS and county CCC. ACS Single-Year Profile-Table Estimates See Table B. in section II for a list and descriptions of the files variables. ACS_singleyr_SSCCC.csv Spreadsheet-ready ASCII files that contain ACS annual profile-table estimates and their standard errors for 1999, 2000, and 2001, for state SS and county CCC. singleyr_SSCCC.sas7bdat SAS version 8 data sets that contain ACS annual profile-table estimates and their standard errors for 1999, 2000, and 2001, for state SS and county CCC. Note: Because of the smaller sample sizes in Harris and Fort Bend Counties in Texas, tract level data was not produced. See section III. D for more details. County-level and Tract-level Quality Measures Files See the document qualitymeasures_files.doc in /ftp/pub/outgoing/acsc2k/docs for a list and description of these files variables. qmcf1_SSCCC.csv Spreadsheet-ready ASCII files that contain both county-level and tract-level comparisons of ACS 3-year and Census self-response rates, sample unit nonresponse rates, and sample completeness rates, for state SS and county CCC. qmcf1_SSCCC.sas7bdat SAS version 8 data sets that contain both county-level and tract-level comparisons of ACS 3-year and Census self-response rates, sample unit nonresponse rates, and sample completeness rates, for state SS and county CCC. qmsdf1_SSCCC.csv Spreadsheet-ready ASCII files that contain, at both the county-level and tract-level, - ACS 1999, 2000, and 2001 annual estimates and their standard errors - Census numerators and denominators for the self-response rates, sample unit nonresponse rates, and sample completeness rates, for state SS and county CCC. qmsdf1_SSCCC.sas7bdat SAS version 8 data sets that contain, at both the county-level and tract-level, - ACS 1999, 2000, and 2001 annual estimates and their standard errors - Census numerators and denominators for the self-response rates, sample unit nonresponse rates, and sample completeness rates, for state SS and county CCC. qmcf2_SSCCC.csv Spreadsheet-ready ASCII files that contain both county-level and tract-level comparisons of ACS 3-year and Census population item allocation rates, for state SS and county CCC. qmcf2_SSCCC.sas7bdat SAS version 8 data sets that contain both county-level and tract-level comparisons of ACS 3-year and Census population item allocation rates, for state SS and county CCC. qmsdf2_SSCCC.csv Spreadsheet-ready ASCII files that contain, at both the county-level and tract-level, - ACS 1999, 2000, and 2001 annual estimates and their standard errors - Census numerators and denominators for the population item allocation rates, for state SS and county CCC. qmsdf2_SSCCC.sas7bdat SAS version 8 data sets that contain, at both the county-level and tract-level, - ACS 1999, 2000, and 2001 annual estimates and their standard errors - Census numerators and denominators for the population item allocation rates, for state SS and county CCC. qmcf3_SSCCC.csv Spreadsheet-ready ASCII files that contain both county-level and tract-level comparisons of ACS 3-year and Census housing unit item allocation rates, for state SS and county CCC. qmcf3_SSCCC.sas7bdat SAS version 8 data sets that contain both county-level and tract-level comparisons of ACS 3-year and Census housing unit item allocation rates, for state SS and county CCC. qmsdf3_SSCCC.csv Spreadsheet-ready ASCII files that contain, at both the county-level and tract-level, - ACS 1999, 2000, and 2001 annual estimates and their standard errors - Census numerators and denominators for the housing unit item allocation rates, for state SS and county CCC. qmsdf3_SSCCC.sas7bdat SAS version 8 data sets that contain, at both the county-level and tract-level, - ACS 1999, 2000, and 2001 annual estimates and their standard errors - Census numerators and denominators for the housing unit item allocation rates, for state SS and county CCC. County-level--only Quality Measures Files See the individual sections below for where to find the lists and descriptions of variables for each file. qm_SSCCC.prn Table C. in section II. for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census self-response rates, sample unit nonresponse rates, and sample completeness rates, for state SS and county CCC. These files include headings. qm_SSCCC.sas7bdat Table C. in section II. for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census self-response rates, sample unit nonresponse rates, and sample completeness rates, for state SS and county CCC. totalpop_SSCCC.prn See Table D. in section II. for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census population item allocation rates for all responses, for state SS and county CCC. These files include headings. totalpop_SSCCC.sas7bdat See Table D. in section II. for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census population item allocation rates for all responses, for state SS and county CCC. totalocc_SSCCC.prn See Table D. in section II. for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for all occupied housing unit responses only, for state SS and county CCC. These files include headings. totalocc_SSCCC.sas7bdat See Table D. in section II. for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for all occupied housing unit responses only, for state SS and county CCC. totalvac_SSCCC.prn See Table D. in section II. for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for all vacant housing units responses only, for state SS and county CCC. These files include headings. totalvac_SSCCC.sas7bdat See Table D. in section II. for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for all vacant housing units responses only, for state SS and county CCC. selfpop_SSCCC.prn See Table E. in section II. for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census population item allocation rates for self-responses only, for state SS and county CCC. These files include headings. selfpop_SSCCC.sas7bdat See Table E. in section II. for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census population item allocation rates for self-responses only, for state SS and county CCC. selfocc_SSCCC.prn See Table E. in section II. for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for occupied housing unit self-responses only, for state SS and county CCC. These files include headings. selfocc_SSCCC.sas7bdat See Table E. in section II. for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for occupied housing unit self-responses only, for state SS and county CCC. intvwpop_SSCCC.prn See Table F in section II for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census population item allocation rates for interviewer (ACS) and enumerator (Census)1 responses only, for state SS and county CCC. These files include headings. intvwpop_SSCCC.sas7bdat See Table F in section II for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census population item allocation rates for interviewer (ACS) and enumerator (Census) responses only, for state SS and county CCC. intvwocc_SSCCC.prn See Table F in section II for a list and descriptions of these files variables. ASCII files that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for occupied housing unit interviewer (ACS) and enumerator (Census) responses only, for state SS and county CCC. These files include headings. intvwocc_SSCCC.sas7bdat See Table F in section II for a list and descriptions of these files variables. SAS version 8 data sets that contain county-level comparisons only of ACS 3-year and Census housing unit item allocation rates for occupied housing unit interviewer (ACS) and enumerator (Census) responses only, for state SS and county CCC. Variable Names for the Comparison Profile and Single Year ACS Data. Table A. 1999-2001 ACS/Census Comparison Profile Variables for the ACS_census_cmp_SSCCC.csv and change_SSCCC.sas7bdat files Variable NameDescriptionSTTwo-digit state codeCTYThree-digit county codePROFTBLProfile table number, where: 1 = demographic table 2 = social table 3 = economic table 4 = housing tablePROFLNProfile line number within a profile tableSTUBDescription of the profile lineTRSix-digit tract identification number (value is blank for county-level data)CAVGESTACS 3-year average (average of the 1999, 2000, and 2001 ACS estimates). If CAVGEST = '-', no estimate could be calculated. This was because there was either a zero estimate in the denominator of a ratio or no units or individuals fit the characteristics of a median.CEST_C2K - in the CSV files EST_C2K - in the SAS data setsRounded census estimate - does not include the group quarters population. If the estimate was missing or blank, no estimate could be calculated. This was because there was either a zero estimate in the denominator of a ratio or no units or individuals fit the characteristics of a median.CAVGSE ACS 3-year average standard error (in character format in the SAS data sets). If the standard error could not be calculated, then a special code was used. See Section III.A. for an explanation of these codes.CSE00_C2KCensus standard error (in character format in the SAS data sets). In general, we used a generalized variance formula to compute the census standard errors. For some of the means and medians, however, we did not have enough census data available to use the formula. In these cases, we used the ACS standard error adjusted for the differences in sample sizes. If the standard error could not be calculated, then a special code was used. See Section III.A. for an explanation of these codes.C2K_UNICensus universe. C2K_UNI is non-blank only when METHOD = P (see below).ACS_UNIACS universe. ACS_UNI is non-blank only when METHOD = P (see below).ACS_UNI_SEStandard error of ACS_UNI.P01ACS percentage. For the count data: P01 = CAVGEST / ACS_UNI We didnt calculate P01 if CAVGEST was a mean, median, or percent.P00Census percentage. For the count data: P00 = CEST_C2K / C2K_UNI We didnt calculate P00 if CEST_C2K was a mean, median, or percent.SE_P01Standard error of P01.SE_P00Standard error of P00.METHODDenotes the final statistic of interest for a given STUB, where: T = Total (CAVGEST, CEST_C2K) P = Proportion (P01, P00) E = all other statistics (medians, ratios, etc. - CAVGEST, CEST_C2K)CESTCHGDifference in ACS and Census statistics. For METHOD 0 {T, E}: CESTCHG = CAVGEST - CEST_C2K For METHOD = P: CESTCHG = P01 - P00 If CESTCHG =  - , then either the ACS estimate, the census estimate, or both estimates could not be calculated.CVARCHGStandard error of CESTCHG. If the standard error could not be calculated, then a special code was used. See Section III.A. for an explanation of these codes.Z_SCORETest statistic. Z_SCORE = CESTCHG / CVARCHG.PVALUEP-value associated with the Z_SCORE.SIG90Significance flag. SIG90 indicates whether CESTCHG is statistically significant at the 90-percent confidence level.. If SIG90 = -, then the significance test could not be performed.DEFF00Design factor. This is the parameter we used in calculating the Census standard error (CSE00_C2K).ACSAVGWTACS average weight. Table B. 1999-2001 Single Year ACS Data Variables for the ACS_singleyr_SSCCC.csv and singleyr_SSCCC.sas7bdat files Variable NameDescriptionSTTwo-digit state codeCTYThree-digit county codePROFTBLProfile table number, where: 1 = demographic table 2 = social table 3 = economic table 4 = housing tablePROFLNProfile line number within a profile tableSTUBDescription of the profile lineTRSix-digit tract identification number (value is blank for county-level data)ACS99 - in the CSV files WC99T0 - in the SAS data sets1999 ACS estimateACS99_SE - in the CSV files CSE99 - in the SAS data setsStandard error of the 1999 ACS estimateACS00 - in the CSV files WC00T0 - in the SAS data sets2000 ACS estimateACS00_SE - in the CSV files CSE00 - in the SAS data setsStandard error of the 2000 ACS estimateACS01 - in the CSV files WC01T0 - in the SAS data sets2001 ACS estimateACS01_SE - in the CSV files CSE01 - in the SAS data setsStandard error of the 2001 ACS estimate Table C. Variables and Headings for the qm_SSCCC.sas7bdat and qm_SSCCC.prn Files, respectively Variable Names/Headings for the qm_SSCCC.* files Variable DescriptionsQM in the SAS data sets The variable description is the heading in the prn files.Quality measureACSACS 3-year average rateACSSE in the SAS data sets ACS S.E. in the prn filesACS 3-year average standard errorCENCensus long form rateCENSE in the SAS data sets CEN S.E.in the prn filesCensus long form standard errorDIFFRate difference (ACS minus CEN)DIFFSE in the SAS data sets S.E. Diff in the prn files Standard error of the rate differenceSIGN1 - in the SAS data sets The variable description is the heading in the prn files.Is the rate difference (DIFF) statistically significant? Table D. Variables and Headings for the total*_SSCCC.sas7bdat and total*_SSCCC.prn Files, respectively, where * 0 {pop, occ, vac} Variable Names/Headings for the total*_SSCCC.* files Variable DescriptionsITEMDESC in the SAS data sets ITEM in the prn filesQuality measure itemACS_TAL in the SAS data sets  ACS 3-year average rate in the prn filesACS 3-year average total item nonresponse rateACS_TALSE in the SAS data sets ACS 3-year average S.E. in the prn filesStandard error of the ACS 3-year average total item nonresponse rateCEN_TAL in the SAS data sets Census rate in the prn filesCensus 2000 sample (long form) total item nonresponse rateCEN_TALSE in the SAS data sets Census S.E. in the prn filesStandard error of the Census 2000 sample (long form) total item nonresponse rateDIFF_TAL in the SAS data sets DIFF in the prn filesRate difference (ACS_TAL minus CEN_TAL)DIFF_TALSE in the SAS data sets S.E. Diff in the prn files Standard error of the rate differenceTSIGN - in the SAS data sets The variable description is the heading in the prn files.Is the rate difference (DIFF_TAL) statistically significant? Table E. Variables and Headings for the self*_SSCCC.sas7bdat and self*_SSCCC.prn Files, respectively, where * 0 {pop, occ} Variable Names/Headings for the self*_SSCCC.* files Variable DescriptionsITEMDESC in the SAS data sets ITEM in the prn filesQuality measure itemACS_SAL in the SAS data sets  ACS 3-year average rate in the prn filesACS 3-year average self-response item nonresponse rateACS_SALSE in the SAS data sets ACS 3-year average S.E. in the prn filesStandard error of the ACS 3-year average self-response item nonresponse rateCEN_SAL in the SAS data sets Census rate in the prn filesCensus 2000 sample (long form) self-response item nonresponse rateCEN_SALSE in the SAS data sets Census S.E. in the prn filesStandard error of the Census 2000 sample (long form) self-response item nonresponse rateDIFF_SAL in the SAS data sets DIFF in the prn filesRate difference (ACS_SAL minus CEN_SAL)DIFF_SALSE in the SAS data sets S.E. Diff in the prn files Standard error of the rate differenceSSIGN - in the SAS data sets The variable description is the heading in the prn files.Is the rate difference (DIFF_SAL) statistically significant? Table F. Variables and Headings for the intvw*_SSCCC.sas7bdat and intvw*_SSCCC.prn Files, respectively, where * 0 {pop, occ} Variable Names/Headings for the intvw*_SSCCC.* files Variable DescriptionsITEMDESC in the SAS data sets ITEM in the prn filesQuality measure itemACS_IAL in the SAS data sets  ACS 3-year average rate in the prn filesACS 3-year average interviewer-response item nonresponse rateACS_IALSE in the SAS data sets ACS 3-year average S.E. in the prn filesStandard error of the ACS 3-year average interviewer-response item nonresponse rateCEN_EAL in the SAS data sets Census rate in the prn filesCensus 2000 sample (long form) enumerator- response item nonresponse rateCEN_EALSE in the SAS data sets Census S.E. in the prn filesStandard error of the Census 2000 sample (long form) enumerator-response item nonresponse rateDIFF_IAL in the SAS data sets DIFF in the prn filesRate difference (ACS_IAL minus CEN_EAL)DIFF_IALSE in the SAS data sets S.E. Diff in the prn files Standard error of the rate differenceISIGN - in the SAS data sets The variable description is the heading in the prn files.Is the rate difference (DIFF_IAL) statistically significant? Special Notes Special Cases/Codes for Standard Errors If a standard error could not be computed for an estimate, a code of one to five asterisks was used to indicate the cause: * There wasnt enough sample to compute the standard error (for at least one year in a three year average). ** The denominator of a ratio was zero, or no sample cases fit the characteristics of a median. For example, if there were no owner-occupied units in sample in a geographic area, the estimate of the median value for owner occupied units for that area would have would have its standard error coded as '**'. *** The median estimate fell into the upper or lowest interval in an open-ended distribution. ***** The estimate was controlled in the weighting process to a fixed value (or all three years were controlled in a three year average), and was not subject to sampling error. In computations with the standard errors (for estimates with standard errors ?), these estimates can be treated as having a standard error of zero. The '****' (four asterisk) code was not used in this product. ACS Profile Table Layout File The file acs_3yr_profile_layout.xls, located in /ftp/pub/outgoing/acsc2k/docs/, provides a complete layout for the ACS three-year average versus census comparison profiles. It may be matched to the data files in sections I.A. and I.B by using PROFTBL (profile table number) and PROFLN (profile line number). The first sheet contains the layout for the comparison profile as published. It includes a column (UNIVERSE) identifying the denominator for the lines compared as proportions. Another column, OLD_PROFLN, gives the line number or numbers in the ACS 1999-2001 published single-year profiles from which the line in the comparison profile is taken (the PROFTBL of a line is always the same in the three-year average and single-year profiles). If two or more line numbers are separated by a + sign, those lines in the published ACS profile were combined to form a line comparable with a line in the Census 2000 profile. The second sheet contains the original layout for the ACS 1999-2001 published single-year profiles. If the column for the three-year average profile line number (PROFLN) is blank, it is not included in this comparison profile because they were not comparable with similar profile lines in Census 2000, or were unique to the ACS. These profile lines are not on the files in section I.A. and I.B. If the same line number appears on two or more consecutive lines in the PROFLN field, this indicates the lines were combined together on the comparison profile. Additionally, we collapsed sex across all the values for marital status in the STUB field in profile table 2 (i.e., we had marital status-only lines in the STUB field when PROFTBL = 2), but, we kept two sex marital status categories: widowed females divorced females The profile lines for widowed females and divorced females (both shown as females in the STUB field) immediately follow the widowed and divorced profile lines in profile table 2, respectively. Contents of Other Documents in the /ftp/pub/outgoing/acsc2k/docs Directory acs_census_technical_documentation.doc - detailed descriptions of ACS sampling, estimation, and variance estimation methodology - detailed descriptions of census long form sampling, estimation, and variance estimation methodology - detailed description of the calculation of the estimate and standard error of the difference between the ACS and census estimates qualitymeasures_documentation.doc - computational details for the quality measures - a table showing the matching census and ACS items for which we computed allocation rates - a table showing the percent in-sample, by county, for the Census 2000 long form - design factor sources combined_se.doc - instructions on how to approximate the standard error of the estimate of change over an aggregation of geographic areas combined_se.doc - instructions on how to approximate the standard error of the estimate of change over an aggregation of geographic areas 36countycodes.doc - lists the 36 ACS test counties and their FIPS state and county codes houston_uda_defs.xls - contains a table showing geoid, (user defined areas) UDA, state, county, and tract for Houston: Harris and Fort Bend Counties. - this table will allow data users to match the UDA for Harris and Fort Bend Counties back to the Census tracts. For example the Ft. Bend UDA 6701A matches to Census Tracts 6701-6702. Special Note: Harris and Fort Bend User Defined Areas Because of the smaller sample sizes in Harris and Fort Bend Counties, tract level data was not produced. In order to have local data below the county level, we produced data for user defined areas (UDA). The UDA were defined by local Texas officials to correspond to the neighborhoods of these counties. These UDA were defined to have a population of about 10,000 persons by grouping census tracts together to meet the threshold. The files: ACS_singleyr_48157 and ACS_census_cmp_48157 are included in the Harris and Fort Bend data that lists the tracts included in each UDA. The data products for the Harris and Fort Bend UDA include downloadable data files and quality measure files. Because they are special defined areas, we did not produce web viewable data for the UDA. Because the UDA were groups of tracts, we did not produce all profile lines. Profile lines that are derived measures, such as means (or averages) and medians, were not calculated and are shown as NA in the downloadable datasets. 1 ACS staff attempting to contact ACS sample households are referred to as interviewers; Census 2000 staff attempting to contact long-form households are referred to as enumerators.  PAGE 1  PAGE 5  PAGE 12  PAGE 18 .B?hkYqrDYZ& ' ; R S  O ^ _ # C W X 6FGd` >*CJaJ5CJ\aJ6]:>* 5:\6CJOJQJ]^JaJCJOJQJ^JaJ6CJ]aJCJaJCJaJmH sH jCJUaJmH sH BijkXYrsCDZ[' 2 & Fp^p$ & F pp0^p`0a$ & F^$ & F 0^`0a$ & F$ & F 0^`0a$kXll2 : ; S T ; N O _ $ & F 0^`0a$ & F `^`` & Fp^p$ & F pp0^p`0a$ & F & F^_ ` B C X Y 56GH  2W & F p@ @ 0^@ `0$ & F pp0^p`0a$ & Fp^p & FWXVWhi+,st & F p@ @ 0^@ `0$ & F pp0^p`0a$ & Fp^p & FUu7Wgh4TtPp5Uij*+9NO7W,=><^pqHPZ 2 3 &!e!f!}!~!/"}""""T#####$$$$:>*6] >*CJaJCJaJ^"GHTUjk+,$ & F pp0^p`0a$ & F p@ @ 0^@ `0 & F & Fp^p89OP  VWKL & F^$ & F 0^`0a$ & F p@ @ 0^@ `0$ & F pp0^p`0a$ & F & Fp^pL+,>?[\^qr  $ & F pp0^p`0a$ & F & Fp^p TU 3 4 d!e!~!!!!""""###$ & F pp0^p`0a$ & F & Fp^p####6$7$$$$$Q%R%0&1&H&I&&&h'i'}'~'''(( & Fp^p$ & F pp0^p`0a$ & F$$%%1&G&H&&I'i'j'|'}' (n(o(~(((())****-+l+++3,,,, - --W-o-t-------//W1Y1886<9<y<<<<<<<<<9@<@e@v@@@@@@ƾƾƵCJOJQJaJ6CJ]aJCJaJ5CJ\aJ56CJ\]aJ5CJ\aJ 5:\ CJH*aJ6] >*CJaJCJaJG(((')()****g*h*k+l+++++,, --R-- & F^$ & F 0^`0a$ & Fp^p & F$ & F pp0^p`0a$--------- KdG$$IfT7440e  '4 7a & FnZ$IfG$$IfT7440e   '  4 7a$ & FnZ$Ifa$ & F------- .$.9.P.f.g.n...t & FZ$If & F$If & Fn$IfF$$IfT740e  '4 7a & FnZ$If......///J/e/f/// 000Lx & F$If & FZ$If & Fn$IfF$$IfT740e  '4 7a & FnZ$If0010M0l000001U111 & F$If & FZ$If & Fn$IfF$$IfT740e  '4 7a 111111+2_2}2 & FZ$If & F$If & Fn$If & FnZ$IfF$$IfT740e  ' 4 7a}2~2222!3N3|3333354i444(P & FZ$If & F$If & Fn$If & FnZ$IfF$$IfT740e  '4 7a4444445,5-585S5T5X5}555D, & F$IfF$$IfT740e  '4 7a & FZ$If & Fn$If & FnZ$If5555 6(6X6n6o6v66666@|| & F$If & Fn$If & FnZ$IfF$$IfT740e  '4 7a & FZ$If 666667;7s77 & FZ$If & F$If & Fn$If & FnZ$IfF$$IfT740e  ' 4 7a77778Z8z8889|9999990 & FZ$If & F$If & Fn$If & FnZ$IfF$$IfT740e  '4 7a9':[:y:z:::::::::;B;b;  & Fn$If & FnZ$IfF$$IfT740e  '4 7a & FZ$If & F$Ifb;c;;;;;;<<!<5<x & Fn$If & FnZ$IfF$$IfT740e  '4 7a & FZ$If & F$If 5<6<7<8<t<<<<<$ & FmZ$Ifa$ & Fp^p & F^ & FF$$IfT740e  ' 4 7a<<<<<<< adG$$IfT7440e  '4 7a & FmZ$IfG$$IfT7440e   '  4 7a<<<===,=F=[=r=======t & FZ$If & F$If & Fm$If & FmZ$IfF$$IfT740e  '4 7a====>4>5>N>l>~>>>>>>>?*?L(( & FZ$If & Fm$IfF$$IfT740e  '4 7a & FmZ$If*?+?G?d????????@8@( & FmZ$If & FZ$If & Fm$IfF$$IfT740e  '4 7a 8@9@:@;@|@@@@@@@@$ & FX$Ifa$$ & Fl$Ifa$ & Fp^p & F^ & FF$$IfT740e  ' 4 7a @@@@@@CADASAUAXAYApArAAAAAAAAABB8B:B>B?B^B`BBBBBCCTCVCWCXCCCCDD"D&DhDDDDDD.E0EXE\EEE$F&FoFpFFFFF0G2GoGpGG5CJOJQJ\aJ5CJ\aJ56CJ\]aJCJaJ6CJ]aJ6CJ]aJCJaJ5CJ\aJ56CJ\]aJG@@@@@A7ADA eYOC & FX$If & F$If & Fl$IfE$$If7440v$::4 7a & FlX$IfE$$If7440v$:  :  4 7aDATAUAYAqArAAAAAAAABB9B:B?Bt`lT & FX$If & Fl$IfD$$If740v$::4 7a & FlX$If?B_B`B}BBBBB CCFCUCT & F$If & FX$If & Fl$IfD$$If740v$::4 7a & FlX$If UCVCWCC$D&DhDDDD$ & FX$Ifa$$ & Fl$Ifa$ & Fp^p & F^ & FD$$If740v$: : 4 7a DDDDDE0EZE e(YM & FX$If & Fl$IfE$$If7440*d%::4 7aa & FlX$IfE$$If7440*d%:  :  4 7aaZE\EEE%F&FEFpFFFFFFG1G2GQGpGHH & FlX$If & FX$If & Fl$IfD$$If740*d%::4 7aapGGGGGG!H"HBHaHHHHHHI Ixd & F$If & FlX$IfD$$If740*d%::4 7aa & FX$If & Fl$IfGGGG H"H`HaHHHHHI!I"I#I`IjIyIJJJJ^JxJJJJJ"K$KLKPKKK(L*LsLtLLLMMGMIMMMMMNNANCNNNNNOO@OBOCODOOOOPPPP^PzP濴濴56CJ\]aJ5CJ\aJ5CJOJQJ\aJ5CJ\aJ56CJ\]aJCJaJ6CJ]aJ6CJ]aJCJaJG I!I"IfIJJ^JJJJ$ & FX$Ifa$$ & Fl$Ifa$ & Fp^p & F^ & FD$$If740*d%: : 4 7aa JJJJJJ$KNK e(YM & FX$If & Fl$IfE$$If7440*d%::4 7aa & FlX$IfE$$If7440*d%:  :  4 7aaNKPKKKL)L*LILtLLLLLLM"MHMIMtp & F$If & FX$If & Fl$IfD$$If740*d%::4 7aaIMhMMMMMMNNBNCNcNNNNNNxd & FlX$IfD$$If740*d%::4 7aa & F$If & FX$If & Fl$IfNO2OAOBOCOOPP^PPPP}n}n$ & FX$Ifa$$ & Fl$Ifa$ & Fp^p & F^ & FD$$If740*d%: : 4 7aa & Fl$If & FX$If zPPPPP$Q&QNQRQQQ0R2R{R|RRRSS^S`SSSTT6T7T^T`TTTTTUU]U_U`UaUbUoUpUqUUUYYYYYZZZZZ_[g[[[Z\b\ ^^@_F___:`>`J`Q``` aºººººººººº5CJ\aJCJaJ 6>*]6]56:\]6CJ]aJ6CJ]aJ56CJ\]aJCJaJ5CJ\aJIPPPPPP&QPQ e(YM & FX$If & Fl$IfE$$If7440*d%::4 7aa & FlX$IfE$$If7440*d%:  :  4 7aaPQRQQQR1R2RQR|RRRRRRS>S_S`S$$ & F$If & FX$If & Fl$IfD$$If740*d%::4 7aa`SSSSSTT T7T_T`TTTTTTUxd & FlX$IfD$$If740*d%::4 7aa & F$If & FX$If & Fl$IfUUOU^U_U`UaUpUqUUUVV|s & F^$ & F 0`0a$$ & F 0`0a$ & FD$$If740*d%: : 4 7aa & Fl$If & FX$If VVVWWXX]Y^YYYYYZZg]h]__`` & F^$ & F 0`0a$ & F `^`` & F & F pp`^p``````xayaaaaaUbbCcDcfcgcccEd & F pp0^p`0 & F pp^p`$ & F 0`0a$ & F^ & F$ & F p@ 0`0a$ aayaaaaaaaDcec`doddeje~eeeefqgrgtggg;iYifiiiiiiikkWlXlYl`lalblclelflglnlolplqlsltlul|l}lllllllllllll󽳽󽳽󽳽󽳽CJaJmHnHujCJUaJ CJH*aJ 0J6CJaJ 0J7CJaJ0J5 0J8CJaJ6CJ]aJ 6>*]>*CJaJ5CJ\aJCEd]d^dpdqdddeeeeeeeeeeefsg & Fp`^p`` & F^ & F `^`` & F pp^p` & F & F pp0^p`0sgtgggjjkWlXldlelflrlsltlllll#$ & F ) p@ P !# & F ) p@ P !`^``$ & F 0`0a$ & Flllll# & F ) p@ P !`^``,...()()()..)() 00P/ =!&"&#$%8$,....()()))))() 00P/ =!&"&#$%8$,....()()))))() 00P/ =!&"&#$%8$,....()()))))() 00P/ =!"&#$%8$9 i<@< Normal1$7$8$H$_HmH sH tH <A@< Default Paragraph FontTOT Level 1$1$7$8$H$^a$CJ_HaJmH sH tH TOT Level 2$1$7$8$H$^a$CJ_HaJmH sH tH TOT Level 3$p1$7$8$H$^pa$CJ_HaJmH sH tH TO"T Level 4$@ 1$7$8$H$^@ a$CJ_HaJmH sH tH TO2T Level 5$`1$7$8$H$^`a$CJ_HaJmH sH tH TOBT Level 6$`1$7$8$H$^`a$CJ_HaJmH sH tH TORT Level 7$`1$7$8$H$^`a$CJ_HaJmH sH tH TObT Level 8$`1$7$8$H$^`a$CJ_HaJmH sH tH ZOrZ Level 9$`1$7$8$H$^`a$5CJ\_HaJmH sH tH 0O0 Default ParaCJaJ4Z@4 Plain Text OJQJ^JDOD _26$1$7$8$H$a$CJ_HaJmH sH tH xOx _25G$ p@ P 01$7$8$H$^`0a$CJ_HaJmH sH tH lOl _24<$  p@ P p1$7$8$H$^pa$CJ_HaJmH sH tH jOj _239$ @ P @ 1$7$8$H$^@ a$CJ_HaJmH sH tH fOf _226$ P 1$7$8$H$^a$CJ_HaJmH sH tH dOd _213$ P 1$7$8$H$^a$CJ_HaJmH sH tH `O` _200 $ P 1$7$8$H$^a$CJ_HaJmH sH tH ^O^ _19-!$ P 1$7$8$H$^a$CJ_HaJmH sH tH ZO"Z _18*"$ P P1$7$8$H$^Pa$CJ_HaJmH sH tH nO2n _17=#$ & p@ P 1$7$8$H$a$CJ_HaJmH sH tH xOBx _16G$$ p@ P 01$7$8$H$^`0a$CJ_HaJmH sH tH lORl _15<%$  p@ P p1$7$8$H$^pa$CJ_HaJmH sH tH jObj _149&$ @ P @ 1$7$8$H$^@ a$CJ_HaJmH sH tH fOrf _136'$ P 1$7$8$H$^a$CJ_HaJmH sH tH dOd _123($ P 1$7$8$H$^a$CJ_HaJmH sH tH `O` _110)$ P 1$7$8$H$^a$CJ_HaJmH sH tH ^O^ _10-*$ P 1$7$8$H$^a$CJ_HaJmH sH tH XOX _9*+$ P P1$7$8$H$^Pa$CJ_HaJmH sH tH lOl _8=,$ & p@ P 1$7$8$H$a$CJ_HaJmH sH tH vOv _7G-$ p@ P 01$7$8$H$^`0a$CJ_HaJmH sH tH jOj _6<.$  p@ P p1$7$8$H$^pa$CJ_HaJmH sH tH hOh _59/$ @ P @ 1$7$8$H$^@ a$CJ_HaJmH sH tH dOd _460$ P 1$7$8$H$^a$CJ_HaJmH sH tH bOb _331$ P 1$7$8$H$^a$CJ_HaJmH sH tH ^O"^ _202$ P 1$7$8$H$^a$CJ_HaJmH sH tH \O2\ _1-3$ P 1$7$8$H$^a$CJ_HaJmH sH tH VOBV _*4$ P P1$7$8$H$^Pa$CJ_HaJmH sH tH ,OQ, QuickFormat1>*,Oa, QuickFormat3>*(Oq( QuickFormat2(O( QuickFormat4n$ck^v;c.\ijkXYrsCDZ['2:;ST;NO_`B C X Y 5 6 G H 2 W X VWhi+,st"GHTUjk+,89OP  VWKL+,>?[\^qr  TU 34de~6 7 Q!R!0"1"H"I"""h#i#}#~###$$$$'%(%&&&&g&h&k'l'''''(( ))R)))))))))))))))) *$*9*P*f*g*n********+++J+e+f+++ ,0,1,M,l,,,,,-U--------+._.}.~....!/N/|/////50i000000001,1-181S1T1X1}111111 2(2X2n2o2v2222222223;3s33333344*4+4_44444444.5L5M5U5e5555555565666o6|6}6666667 7 7 7G777777777777777778.8E8[8\8c8888888899!9?9Q9R9n99999999:7:_:`:y:::::: ; ; ;;O;t;u;v;;;;;;;;;; <<'<(<,<D<E<`<z<<<<<<<< = ==2=3=P=m======>(>)>*>o>>>>>>?????#?9?N?O?l?????@2@X@Y@v@@@@@@A:AdAeAAAAAAB(B)BFBqBBBBBBCECFCgC{C|CCCCCCCCCCC(DNDaDbDDDDDDDE;EZEEEEEE FFF;FRFzF{FFFFFF)G:GjGyGzG{GGGH!H6H7HMHNHOHPHQHoHHHHHH I#I$ICInIIIIIIJ0JQJRJqJJJJJJK)KQKRKrKKKKKLLALPLQLRLSLbLcLLLMMtMuMNNO OOPPPPPPPQQYTZTVVWWWWWjXkXXXXXGYY5Z6ZXZYZZZ7[O[P[b[c[[[[[q\r\\\\\\\\r]e^f^^^aabIcJcXcdcecfcsctcucccc00`0 0 0 0k 0 0 0 0 0 0 0 0 0 0 0 0k 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0k 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  0 0 0 0  0 0 0 0 0 0 0 0 0  0 0 0 0 0 0 0 0 0k 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 @0 0W 0 0 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 0 W 0 0 0 0 0 0 W 0 0 0 0 0 0 W 0 0 0 0 0 0 W 0 0 0 0 0 0 W 0 0 0 0 0 0W 0 0 0 0 0 0W 0 0 0 0 0 0 0 0 0 0 0 00 0 00 0 00 0 00 0 0 0 0 0 00 0 00 0 00 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0 0 0 00 0 0 00 0 0 00 0 00 0 0 0 0 00 0 0 0 0 00 0 00 0 00 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 00 0 0 00 0 00 0 0 0 0 0 0 00 0 0 00 0 00 0 0 0 0 0 0 00 0 00 0 00 0 00 0 0 0 0 0 00 0 00 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 00 0 0 0 0 0 `0 0 0 0 00 0 00 0 0 0 00 0 00 0 0 00 0 00 0 0 00 0 00 0 0 00 0 0 0 0 00 0 0 0 0 0 0 0 00 0 00 0 0 00 0 0 00 0 0 0 00 0 0 0 00 0 0 0 00 0 0 00 0 0 00 0 0 0 0 00 0 0 0 0 0 0 0 00 0 00 0 0 00 0 0 0 00 0 0 0 0 00 0 0 0 00 0 0 0 0 00 0 0 00 0 0 00 0 0 0 0 00 0 0 0 0 0 0 0 00 0 00 0 0 00 0 0 0 00 0 0 0 0 00 0 0 0 00 0 0 0 0 00 0 0 00 0 0 00 0 0 0 0 00 0 0 0 0 0SL 0 0 0 0 0 0 0 0 0 0 0 0 0 0SL 0 0 0 0 0 0 0 0 0 0P 0P 0 0 0 0SL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0SL 0 0 0 0@0 0@0@0@0@0@0@0@0@0@0 0++++++:::=$@GzP al;AG[cip2 _ WL #(--.001}245679b;5<<<=*?8@@DA?BUCDZEpG IJNKIMNPPQ`SUV`Edsgll<>?@BCDEFHIJKLMNOPQRSTUVWXYZ\]^_`abdefghjklmnoqrsl=c  $'+36=!!!!bJcccbJcccBureau of the CensusC:\3-Year Averages\1ReadMe.docxl.)S@.@.@.@.@()@()@)@)@)@^`.@^`.@^`.@^`.@^`()@^`()@^`)@^`)@^`))Sxl.))))))))))))))f*g*n*******+++0,1,l,---}.~..000000,1-181S1T1X1111n2o2v2222222333444L5M5U5555555|6}666667 777777777777777[8\8c888888899?9Q9R99999997:_:`::::: ; ;v;;;;;;;<'<(<,<D<E<z<<<<<<< = ==2=3=m====(>)>>>?????9?N?O????@X@Y@@@@AdAeAAAAB(B)BBBBFC{CCCCCCCCC(DaDbDDDD;EEEEFFRFzF{FFFF:GyGzGH6HMHNHOHPHQHHHHH#I$InIIIJQJRJJJJ)KQKRKKKKLPLQLc@p34>?8C8DGHcP@P8Pt@PDP@PJP@PPP@UnknownGz Times New Roman5Symbol3& z ArialOz Times New Roman TUR9WP MathA?5 z Courier New"(j*j*jBGQ)!xxrdc^2QDFile Names (SS is the two digit state FIPS code and CCC is the threeCensusBureau of the CensusOh+'0 $4 T` |   EFile Names (SS is the two digit state FIPS code and CCC is the threeIileCensusmensensNormalmBureau of the Census tw6reMicrosoft Word 9.0s@G@\CQ@hCQ@\CQBGQ՜.+,0D hp  %U.S. Department Of Commerce)c EFile Names (SS is the two digit state FIPS code and CCC is the three Title  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvxyz{|}~Root Entry FP<CQ1Tablew`WordDocumentSummaryInformation(DocumentSummaryInformation8CompObjjObjectPoolP<CQP<CQ  FMicrosoft Word Document MSWordDocWord.Document.89q