Handbook An Instructional Guide to the 1990 Census Transportation Planning Package JUN aIHWESTl, February 1995 »8AN"S?ORTATiON LIBR/-. JUN 1 g U.S. Department of Transportation Federal Highway Administration TRANSPORTATION LIBRARY JUN 1 2 1995 NORTHWESTERN UNIVERSITY Notice This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its content or use thereof. This report does not constitute a standard, specification or regulation. The United States Government does not endorse products or manufacturers. Trade or manufacturers' names appear herein only because they are considered essential to the objective of this document. Technical Report Documentation Page 1, Report No. FHWA-PD-95-019 2. Government Accession No. 3. Reci 1 4. Title ond Subtitle CTPP HANDBOOK: An Instructional Guide to the 1990 Census Transportation Planning Package 5. Rep( 6. f^erformmg Organization Code 8. Performing Orgonizotion Report No. 7. Author's) JHK & Associates , Orlando, FL 9. Performing Orgonizotion Nome and Address JHK & Associates 315 E. Robinson Suite 290 Orlando, FL 32801-4328 10. Work Unit No. (TRAIS) 11. Controct or Gront No. PTFH^l-Ql-rOO'^'^l'^ 13. Type of Report ond Period Covered Final Report 12. Sponsoring Agency Nome ond Address Office of Environment and Planning Federal Hi ghway Admi nistrati on 400 Seventh St. SW WflCihingtnn nC ?n59n 14. Sponsoring Agency Code 15. Supplementary Notes Contracting Officer's Technical Representatives (COTRs): Christopher R. Fleet and Monica I. Francois. HEP-22 16. Abstract This handbook is designed for technical staff as an instructional guide to the 1990 Census Transportaion Planning Package (CTPP) and its potential uses. The CTPP contains 1990 social and economic data by place of residence, place of work, and journey to work, at various levels of detail and geography. The CTPP is the largest national sample of commuter travel characterisitics , and is available for each state and metropolitan area in the U.S. This handbook gives users an overview of the CTPP, and includes discussions of basic Census defintions and CTPP organization into tables and parts. Users are also oriented in: preparing to use the CTPP for analysis: the potential for applying the CTPP to transportation planning; conducting reasonableness checks of the data; using the CTPP in travel demand forecasting; and accessing CTPP tables and technical assistance. Self instructional case studies are also included which make use of simple spreadsheets and provide hands-on experience with concepts and potential uses of the CTPP data. 17. Key Words CTPP, Census, commuting, planning, socio-economic data, travel behavior, travel demand, travel forecasting 18. Distribution Statement No restrictions. This document i s available to the public through the US OCT Warehouse. 19. Security Classif. (of this report) llnrl assi f i ed 20. Security Classif. (of this page) Unciassified 21> No. of Pages 1 74 (w/App.1 22. Price Form DOT F 1700.7 (8-72) Reproduction of completed page authorized HE 313 TABLE OF CONTENTS INTRODUCTION 1 Organization of the Handbook 1 CHAPTER 1 - OVERVIEW OF THE CTPP 3 What is the CTRP? 3 Census Definitions 3 Unique Features of the CTPP 6 CHAPTER 2 - ORGANIZATION OF THE CTPP 9 CTPP Elements 9 Statewide Element 9 Urban Element 10 CTPP Parts 11 CTPP Tables 12 Summary 15 Preparing for Analysis Using the CTPP 17 Questions 19 Answers 20 CASE STUDIES - INTRODUCTION 21 Case Study; Travel Demand Characteristics by Urban Area Size 23 Case Study: Assessing Commuter Bus Service 45 Case Study Answer Sheet 65 CHAPTER 3 - CHECKING FOR REASONABLENESS 69 Types of Errors •. 69 Weighting 70 Rteasonableness Checks 71 Use of CTPP Data in Travel Demand Forecasting 72 Usual and Average Day Conditions 72 Accessing the CTPP 74 Software 74 BTS Technical Assistance 76 CTPP Telephone Assistance & Electronic Bulletin Board System 76 APPENDICES Appendix A: 1990 Census Transportation Planning Package Table Outline: Statewide Element Parts A, B & 0 Table Outline: Urban Element Parts 1, 2 & 3 Appendix B: 1990 Census Questionnaire LIST OF EXHIBITS Exhibit 1-1 Workers by Industry 6 Exhibit 1-2 Available CTPP Tabulations 7 Exhibit 2-1 Statewide Element Geographic Summary Levels 10 Exhibit 2-2 Urban Element Geographic Summary Levels 11 Exhibit 2-3 Example Place of Residence Tabulation 13 Exhibit 2-4 Example Journey-to-Work Tabulation 14 Exhibit 3-1 Trip Table Checks 73 Exhibit 3-2 Example of TransVU Screen 75 INTRODUCTION The purpose of this handbook is to provide an instructional guide to the 1990 Census Transportation Planning Package (CTPP) and its potential uses for transportation planners and others involved in Census data analyses. The CTPP is the largest national sample of commuter travel characteristics available, and contains social and economic data for both the Place of Residence and Place of Work. This handbook is designed to complement other efforts by the Census Bureau and the U.S. Department of Transportation to provide training and guidance on the uses of the CTPP. Several other agencies and organizations have supported the development of the CTPP and related products, including the National Association of Regional Councils (NARC), the American Association of State Highway and Transportation Officials (AASHTO) and individual State Departments of Transportation. A brochure and video have been prepared that are designed primarily for those managers and officials who would like to find out more about the CTPP and its uses. The focus of these products is to indicate the many ways in which CTPP tabulations can be used in transportation planning applications. This handbook differs from the brochure and video in that it is intended to provide a self-instructional guide to planners and technical analysts who use the CTPP. Two case studies (Travel Demand Characteristics by Urban Area Size and Assessing Commuter Bus Service), are contained in this handbook to provide insight into the practical applications of the data. Organization of the Handbook This handbook is primarily intended for technical staff members who elect to find out more detailed information about the CTPP and its applications and those who could not attend the three-day workshops sponsored by the Federal Highway Administration (FHWA) and National Highway Institute (NHI) from 1992 to 1994. This handbook summarizes the content and substance of those workshops, including potential CTPP applications. Chapter 1 of the handbook gives an Overview of the 1990 CTPP, with an explanation of key Census terms, and identifies special features that differentiate it from other Census products. Chapter 2 discusses the CTPP organization and the geographic levels at which the data are summarized. Guidelines are provided about how to prepare for analysis using the CTPP. The chapter contains the two case studies. A series of spreadsheet templates are provided with the case studies to show how the data can be used in various kinds of analyses. Chapter 3 indicates the types of checks that you will want to make on CTPP tabulations as you review the data, including some considerations to make before using the CTPP for travel demand forecasting and direct analysis. The chapter also briefly introduces the Windows-based TransVU software that has been distributed by the U.S. DOT'S Bureau of Transportation Statistics (BTS) and the Census Bureau to extract the information needed from the rather large CTPP tabulations contained on CD-ROM. Finally, the Appendices contain additional background information on the available CTPP tables and Census questionnaire. 1 CHAPTER 1 OVERVIEW OF THE CTRP What Is the CTRP? The 1990 Census Transportation Planning Package (CTPP) is a collection of summary tables that have been generated from both the 1990 Census short and long forms. The tables contain information about population and household characteristics, worker characteristics and characteristics of the Journey-to-Work (JTW). The tables provided in the CTPP are similar in format and content to those available in other Census products. It should be noted that the CTPP does not contain raw Census information; rather the information provided, as with all other Census products, has been organized into a series of tables. The tables contained in the CTPP cannot be disaggregated; however, they can be combined to conduct a variety of analyses. In fact, the CTPP tables have been designed specifically for transportation planning analysis based on extensive input from transportation professionals representing various agencies from across the country. However, upon reviewing the available tables, you may note that there are numerous applications for the CTPP outside transportation planning. Census Definitions Before proceeding, it is important to become familiar with the terminology used in the CTPP and other Census products. The following key terms are used throughout this handbook and in conjunction with the use of Census data; those marked with an asterisk are Census-specific: ■ Census Long Form* - Sampled data collected from about one in six households (more in rural areas, less in densely developed urban areas). The long form is the source of some population and economic data, and all Journey- to-Work data. (See Appendix.) ■ Census Short Form* - Used in the 100 percent count of all persons. A source of total population, race, sex, age, and some housing data, including type of structure, units in structure and value of home or monthly rent. (See Appendix.) ■ Geographic Information - An organized collection of computer hardware. System (CIS) software and geographic data designed to efficiently capture, store, update, manipulate, analyze and display all forms of geographically referenced information. 3 Geographic Summary Lever Group Quarters' The geographic location at which CTPP data are tabulated (e.g., state, county, place or traffic analysis zones/census tracts). Communal housing, such as dormitories, military bases, prisons and nursing homes. Group quarters are distinct from households in the CTPP. Home-Based Work Trip (HBW) Journey-to-Work (JTW)* A travel demand forecasting term that refers to the two-way work trip (including journey-to-work and journey-Zrom-work). The one-way trip from home to work, or a commuter trip. Also called "worker flows." Collected from the Census long form. ■ Nationwide Personal - A periodic telephone survey of 20,000 households Transportation Study also conducted in 1990. Includes data about all trips (NPTS) and travel modes used in survey households. ■ Place* - Defined by the Census Bureau as having a population of 2,500 or more. Also known as a Census-Defined Place (CDP). Cities, towns and villages are all 'places.' ■ Place of Residence* - The location at which Census respondents said they lived at the time the Census was taken (April 1990). Household and economic characteristics are summarized by residence location. Taken from all Census respondents (short form). The location at which Census respondents said they worked. Worker characteristics summarized by work place location. This information is taken from sampled data (long form). The CTPP is divided into two main groupings of the data, based on the level at which the data are geographically summarized. The Statewide Element consists of data summaries for the entire state, county totals for each county within the state and place totals for each place within a county. ■ Summary Tape - Data from 1990 Census Long and Short Forms Files (STF)* on 9-track computer tape. Summarized by block, block group and zip code. Includes Place of Residence data. ■ Place of Work* ■ Statewide Element* 4 ■ TIGER* - Topologically integrated Geographic Encoding and Referencing System. Nationwide database containing roads, water boundaries and Census geography (tracts and block groups). Used as a base in many GIS applications. Level of geographic detail used in most transportation planning applications to summarize socio-economic characteristics and travel data. TAZs vary in size depending on density and homogeneity of land uses, and are defined by local agencies. ■ Travel Shed - A term used to describe a relatively distinct geographic area served by a key transportation system component, such as a transit line. ■ Trip Chaining - A term used to refer to the phenomenon of making intermediate stops as part of a longer trip. For example, stopping at a convenience store or the day care center as part of the trip from home to work. Chained trips were not reported in the 1990 Census, and therefore, are not reflected in the Journey-to-Work data. ■ Universe* - The unit being measured in the CTPP tables (e.g.. Workers 16 years and over). The tables often define the characteristics of the universe by other variables, such as means of transportation to work, age or income. These are called cross-tabulations. ■ Urban Element* - The Urban Element contains a more detailed summary of Census data for urbanized areas (50,000 population or more). Data are summarized at the Census tract or Traffic Analysis Zone (TAZ) level. Totals are also provided for the urbanized area, the Metropolitan Statistical Area (MSA) and special study areas (if , defined). ■ Traffic Analysis Zones (TAZ)* 5 Unique Features of the CTPP Similarities exist between the CTPP and other Census products, such as STF (Summary Tape File) 3A. Notable differences also exist. First, the CTPP is the only Census product that summarizes tables by Place of Work and by Place of Residence. All other Census products provide information by Place of Residence only. Place of Work tabulations can be extremely helpful in determining where concentrations of workers are located and the characteristics of those workers, as stratified by work place location. For example, the CTPP provides information about the characteristics of people who work within a Central Business District or other major employment areas under analysis. It will also provide characteristics of the work force for towns, cities, counties and states. Because the CTPP provides the only summary of worker characteristics by Place of Work, it will be of use to those outside the transportation planning profession as well. CTPP TABLE 2-3 WORKERS BY INDUSTRY Number of Cells = 3*19=57 Import area(s) Strati Strat2 TOTAL TAZ 1 TAZ 2 TAZ 3 TAZ 4 TAZ 5 Total Total 87104 41527 31145 11335 561 2536 Agriculture, Forestry, Fisheries Total 159 21 35 103 0 0 Mining Total 0 0 0 0 0 0 Construction Total 4395 1852 1389 897 103 154 Manufacturing, Nondurable Total 7928 139 5151 2602 0 36 Manufacturing, Durable Total 9276 209 7726 1341 0 0 Transportation Total 1981 526 1318 65 0 72 Communication, Utilities Total 2017 430 1078 53 65 391 Wholesale Trade Total 2995 962 1659 209 21 144 Retail Trade Total 8703 6374 1987 34 233 75 Finance, Insurance, Real Estate Total 9478 9034 364 0 36 44 Business and Repair Service Total 2738 1267 321 1122 18 10 Exhibit 1-1 Exhibit 1-1 shows how Place of Work data may be summarized. In the example, a study area consisting of five TAZs has been created to identify the characteristics of workers who commute to the study area. The CTPP table used here reports the total number of workers in each industry for each of the five TAZs. Understanding the number of workers by industry could help to assess the need for commuter bus service to the area, for example, especially if bus ridership in the area is connected to certain industry segments of the workforce. Other CTPP tables can also be used to examine time of arrival at work and travel time by mode to the five TAZs in the example, and so that further analysis can be conducted. 6 The CTPP is the only source of JTW information available from the Census Bureau. Detailed information about the commute trip from home to work is provided, allowing the user to obtain such information as the origin and destination of each commuting trip, the travel time of the trip, the travel mode used for the trip and when the trip began or ended. This information will be helpful in both travel demand modeling and in assessing the effectiveness of transportation programs designed primarily for commuters. Another distinction of the CTPP from data sources is the summary of information by TAZ. Most Metropolitan Planning Organizations (MPOs) developed Census geography and TAZ equivalencies which were used by the Census Bureau to summarize tables by TAZ as opposed to Census block groups or Census tracts. This will enable those MPOs directly to introduce CTPP information into their land use data files (as used in travel demand forecasting models); most MPOs have indicated that this will be their primary use of the CTPP. However, as will be indicated throughout this handbook, the CTPP has a number of other applications that are of benefit to CTPP users. Exhibit 1-2 presents a summary of the types of tabulations available in the CTPP. The Place of Residence tabulations report the characteristics of persons, households, and workers by where they live. The Place of Work data summarize information about workers (such as industry, sex, time of arrival at work, etc.) by where they work. The Journey to Work (JTW) data provide travel characteristics about the trip from home to work, including persons per vehicle, travel time in minutes and travel mode used. AVAILABLE CTPP TABULATIONS Place of Work Place of Residence Household Characteristics I Joumey-To-Work Characteristics Person/ Worker Characteristics Worker Characteristics Exhibit 1-2 7 CHAPTER 2 ORGANIZATION OF THE CTPP Introduction The CTPP tables are organized into a series of parts contained within two elements. The elements define the geographic summary level. The parts define whether the tables are summarizing information by Place of Residence, Place of Work or Journey-to-Work. This chapter describes what is included in each of the two elements, and in the several parts contained within these elements. CTPP Elements As noted above, the CTPP is divided into two elements: the Statewide Element and the Urban Element. The Statewide Element provides data summaries for all places of 2,500 or more population, the balance of the county (non-incorporated county totals), the county as a whole, and the entirety of the state. Note that "places" are incorporated municipalities or Census-defined places (a listing of all incorporated or Census-defined places is available from the Census Bureau). The 1990 CTPP represents the first time that a Statewide Element has been created, allowing planners to analyze travel across a wide geographic range. In previous years, only an urbanized area package was created. This traditional urbanized area package is what constitutes the Urban Element in the 1990 CTPP. The Urban Element provides data summaries for urbanized areas with a population of 50,000 or more, and provides information at the Census tract or the TAZ level. The Statewide Element is used to identify travel characteristics for cities with different sizes and economies. For example, the Statewide Element makes it relatively easy to identify the mode share for transit work trips as a percentage of total JTW travel within a city because travel characteristics information is reported as a total for the place, the county or the state. The Statewide Element could also be used to identify work trip rates per household for each place. The Urban Element, on the other hand, would be most appropriate when looking at the travel mode share within a corridor that connects an outlying suburb with a major employment center. This is because data contained in the Urban Element are summarized at a finer level of detail (e.g., TAZs). Statewide Element Exhibit 2-1 illustrates the summaries that are available in the Statewide Element (i.e.. Place of Residence, Place of Work and Journey-to-Work). The exhibit shows that totals are provided by Place (e.g., a city or township) and for the balance of the county, each county overall, and for the state as a whole. The arrows show the JTW flows reported in the Statewide Element. The CTPP provides information on worker travel flows 9 from (i) Place A to Place B, (ii) County 1 to Place B, (iii) County 1 to County 2. and (iv) Place A to County 2. STATEWIDE GEOGRAPHIC SUMMARY LEVELS STATE RESIDENCE WORKPLACE Exhibit 2-1 Of interest in the Statewide Element are the types of JTW tabulations available for all places greater than 2,500 population and all counties within the state. In most states, there are quite a few places of 2,500 or more population. Depending on the number of places and counties within the state, the Statewide Element can provide a high degree of detail for JTW flow characteristics. Even within an urban area, the Statewide Element can provide detailed information about JTW flows for suburb-to-suburb travel and from outlying cities into a major city. The Statewide Element can also be used as a resource to identify population, housing, workplace and JTW control totals within an urban area. Urban Element The Urban Element provides summaries for Traffic Analysis Zones (or census tracts, for those MPOs that chose not to provide Census geography/TAZ equivalencies), subtotals for the urbanized area defined by the Census Bureau, study area (as defined by the MPO) and for the entire metropolitan statistical area, as defined by the Census Bureau. 10 Exhibit 2-2 illustrates the types of summaries that are available in the Urban Element of the CTPP. In the exhibit, the urban area crosses a state boundary. The Urban Element of the CTPP addresses this situation by providing detailed JTW characteristics for the entire metropolitan area, despite state lines. In a manner similar to the Statewide Element, residence and workplace summaries are available for individual TAZs, as well as for the urbanized area defined by the Census Bureau, and a total for the entire MSA. JTW flow information will be available among all defined TAZs within the MSA and between internal TAZs and external counties and places. It should be emphasized that travel flows are available within the MSA among all defined TAZs, despite the state or county in which each TAZ is located. • CTPP Parts Each element of the CTPP is divided into several parts. The Statewide Element is divided into Parts A-F, and the Urban Element is divided into Parts 1-8 (note that the Census Bureau did not use "Part 5" in its numbering scheme for the Urban Element). Each part contains a collection of tables that define the population or households by Place of Residence, Place of Work or by the characteristics of the JTW. For example. Part A of the Statewide Element contains tables that describe population and household characteristics by Place of Residence. Turn now to Appendix A, which contains a listing CTPP (Urban) Exhibit 2-2 11 of the CTPP tables in Parts A, B, and C of the Statewide Element, in Appendix A, the outline for Table A-1 identifies population within a place or county. Similarly, the outline for Table A-4 identifies household data for a place, county, or state. Part B in the Statewide Element contains tables that define workers by Place of Work. This part would be helpful to identify the characteristics of workers within each place or county. Note that in Part B, some of those workers may actually have their residence in another city or county. When reviewing each part, you will notice that there are tables provided in Part A of the Statewide Element that describe worker characteristics. These tables differ from those available in Part B, in that Part A describes the workers by where they live and Part B describes the workers by where they work. Part C of the Statewide Element contains tables that describe the characteristics of the Journey-to-Work. For example, the outline for Table C-1 in Appendix A, which identifies the means of transportation to work, shows how Part C can be used to identify the total number of work trips made by travel mode for each Census-defined place within a particular state. Turn again to Appendix A and note that Parts 1, 2 and 3 of the Urban Element contain the same table variables that are provided in Parts A, B and C of the Statewide Element. The difference between the parts of the two elements is the geographic level of detail at which the data are summarized. The Statewide Element includes summaries by place, balance of county, county and state; Parts 1, 2 and 3 of the Urban Element provide table summaries by TAZ or census tract, urbanized area, study area and MSA. The remaining parts in the Statewide and Urban Elements are specialized tabulations created to provide greater detail for household, place of work and worker flow information. These specialized parts are only available for very large areas to avoid problems caused by confidentiality concerns and large table sizes. For the Statewide Element, specialized tabulations are available only for places and counties with 75,000 or more population. Within the Urban Element, specialized tabulations are available within super districts of 100,000 or more population. The exception in the Urban Elemenf is Part 7, which is a Place of Work summary available by Census Tract. This part is intended prinrTarily for non-transportation users who would like to get Census information by typical Census geography. CTPP Tables As noted in the Introduction, the CTPP is a collection of summary tables that cannot be disaggregated. The table structure has been defined by transportation practitioners on the Transportation Research Board's Committee on Data Collection and Information Systems, the Federal Transit Administration, the Federal Highway Administration and the Census Bureau. Two prominent issues defining the selected table designs were 12 confidentiality and size. The Census Bureau has strict requirements regarding confidentiality that can be violated by either presenting information at a very detailed geographic level, (e.g., blocks) or by providing too much detail about population or household characteristics at larger geographic areas. Furthermore, when three or more cross-tabulations of data are combined, tables become quite large and difficult to manage. Therefore, tables for smaller geographic summary levels such as TAZs include limited amounts of household or population characteristics detail. Several tables can be combined to obtain a complete picture of the geographic area's characteristics, however. The tables for the specialized parts, as mentioned above, were developed to help address this issue. Most of the information for the CTPP is developed from questions on the Census long form. The long form was completed by about one in six households in the country, with a sampling rate that varied by the type of area. Rural areas had up to a one in two sampling rate, while some urban areas had as low as a one in 20 sampling rate. A lower sampling rate is needed in urban areas because of the likelihood of homogeneous socio¬ economic and travel characteristics in dense communities. EXAMPLE TABULATION CTPP Table A-6 or (1-6), Persons by Sex and Age w Cross Tabulation #1 Sex (Census Question #3) Cross Tabulation #2 Age (Census Question #Sa) / Total Male Female 1 Total 1 XX XX XX Under 16 XX XX XX 16. 17 XX XX XX 18-20 21-24 25-34 XX XX XX Universe • Persons 35-44 XX XX XX 45-54 XX XX XX 55-61 XX XX XX 62-64 XX XX XX 65-75 XX XX XX 75+ XX XX XX All of the tables provided in the CTPP have the same general structure. As illustrated in Exhibit 2-3, each CTPP table is defined by a universe and one or more cross-tabulation vari¬ ables. In the example, the number of persons is the universe and age and sex are the cross-tabulation variables used to define persons. All CTPP tables provide universe totals (in this example, it woyld be total persons) as well as totals for each of the cross- classification categories used (for example, total males or total females). Number of CelU ■ 3 Sex Categories • 12 Age Categories = 36 Note: Age has been classiAed into categories Exhibit 2-3 13 The tables then define the population by each of the cross-tabulation categories. In this particular example, if the analyst needed to find out the total number of males between the ages of 21 and 24, it is provided within the table. Another dimension to all of the tables is the geographic summary level. In Exhibit 2-3, the summary level could be TAZs or counties, depending on whether you are in the Urban Element (Table 1-6) or the Statewide Element (Table A-6). A table that describes the population by sex and age will be available within the CTPP's Urban Element for every TAZ within the urban area. Similarly, for all places and counties, a separate CTPP table is provided in the Statewide Element that defines persons by these same characteristics of sex and age. Finally, the example shows the source of the information. In this example. Question No. 3 on the Census short form provides information about gender. Age categories are developed from responses to Question 5A on the Census short form. To make the connection between CTPP tabulations and the questionnaire used to collect the information, both the Census short and long forms are provided in the Appendix of this handbook. NOTE: Total/Peak derived aod cbssiHed Crom time of dcpanure data Cross-Tabutalioa #1 Total/Peak Pcn'od (Qucstico 24a) Table C-1 (3-1) Time Leaving Home to Work - Total and Peak Period by Means of Transportation to Work EXAMPLE TABULATION Exhibit 2-4 Worker! Who Did Nol Work u Home Exhibit 2-4 provides another example of a CTPP tabulation. For this example, the universe is workers who did not work at home (the Census counts workers only 16 years of age or older), with the cross-tabulation vari- abies being means of transportation (travel mode) and the time leaving home to 00 to work (by total and peak period). This, table will provide the total number of workers, as well as how many traveled by various means of transpor¬ tation, including single- occupant automobiles, car- pools and transit. The table will provide the infor¬ mation for the total day and for the Census defined AM peak period (6:30 a.m. to 8:29 a.m.) 14 Because this particular table reports JTW information, the geographic summary levels, or the third dimension, will differ from either the Place of Residence or the Place of Work summary levels. For example, instead of having one table available for each TAZ within an urban area of 500 TAZs, or 500 tables, a JTW summary table will be provided for every TAZ pair in which commuting trips were made. Thus, there could be 500 destinations for trips that begin in TAZ #1. If there are trips made among all TAZ pairs, there would be a total of 250,000 tables (or 500 squared) available within the CTPP JTW tabulations. This information will reflect trip tables generated by travel demand models. As noted in Chapter 3, a comparison of CTPP and travel demand model estimated trip tables is one of the more important checks to be made during model validation. As stated previously, a complete listing of the CTPP tables contained in Parts A, B and C and Parts 1, 2 and 3 is provided in the Appendix. It is recommended that you take time to review these tables and how they have been organized with respect to the variables that define the unit of measure (such as workers or households). When reviewing them, note that in nearly all instances the table descriptions begin with the table's universe, followed by the cross-tabulation variables used to describe the universe. The number of cells in the table appears to the right of the descriptions, and is based on the number of categories in each cross-tabulation. For example. Table C-1, Workers by Time Leaving Home to Go to Work and Means of Transportation, has a total of 38 cells. As previously illustrated in Exhibit 2-4, there are two categories for time leaving home and 19 categories for travel mode that, when combined, total the 38 table cells. The table descriptions also define the summary levels provided in each of the Parts. As shown on page A-24 of the Appendix, there is a total of 2,481 table cells within Part A of the Statewide Element. Summary The CTPP has been organized into a Statewide and Urban Element, with the Statewide Element providing totals for places, the balance of counties and totals for counties and the state as a whole. The Urban Element provides totals for individual TAZs or census tracts, the Census-defined urbanized area, the MPO-defined study area and the MSA in which the MPO is located. Each element is divided into parts, with the primary distinction among the parts being how the data are tabulated, such«0s by Place of Residence, Place of Work or JTW. The Statewide Element includes Parts A thrqugh F, and the Urban Element includes Parts 1 through 8 (Part 5, however, does not exist). Parts A, B and C in the Statewide Element and 1, 2 and 3 in the Urban Element contain the same tables, yet with summaries provided at different geographic levels. It is believed these parts will be the most useful to CTPP users. The remaining parts in either element are specialized tabi^ations that_ we^re j;iecessary_ because of size and confidentiality considerations. For the Statewide Element, specialized tabulations are availabl^ohly for places and counties with 75,000 or more population. And within the Urban Element, specialized tabulations are available within super districts of 100,000 or more population. The exception in the Urban Element is Part 7, which is a Place of Work 15 summary available by Census Tract. This part is intended primarily for non-transportation users who would like to get Census information by typical Census geography. Detailed specifications for the CTPP parts and tables by Element are provided in Appendix A. Each table is defined by its universe (the unit of measurement) and one or more cross-tabulation variables. Each of the cross-tabulation variables is defined by discreet categories. Both the Census short form and long form are provided in Appendix B. Most of the information for the CTPP is developed from questions on the Census long form. The long form was completed by about one in six households in the country, with a sampling rate that varied by the type of area. Rural areas had up to a one in two sampling rate, whereas urban areas had as low as a one in 20 sampling rate due to the varying likelihood of homogeneity among socio-economic and travel characteristics in different communities. 16 Preparing for Analysis Using the CTPP Now that you have been introduced to the CTPP's unique features and how the information is organized, there are several key steps to follow before analysis can take place. You may want to think of these steps as a series of questions that must be answered to know which tables should be used and how the data contained in the tables can be applied. The following questions, once answered, will guide your use of the CTPP; • What is it that I am trying to measure? • What is the geographic area that I want to study? • What do I want to know about the item(s) I am trying to measure? • What kinds of analysis or manipulations of the data might be needed? • How has the unit of measure or geographic area changed since 1990? There may be other questions that you can think of, but answering these questions will get you started on the right path. Turn now to the table summaries shown in the Appendix of this handbook. Pay particular attention to the unit of measure in each table and the ways in which the data contained in each table are cross-tabulated. You will need to become familiar with the available tables before beginning any analysis using CTPP data. The first thing you need to know is what the unit of measure will be, which is referred to in Census terms as the Universe. For example, if you want to know an area's population, you need to determine if you want to count households or people. If you want to identify trip rates per household, you need to decide if you want to count workers per household or persons per household. Related to this question, you will need to ask yourself if you want the characteristics of workers by where thev live, or by where thev work. Your answer will determine which CTPP Part to access. The second question involves the geographic area of analysis. If you want to summarize travel characteristics at employment centers, you have to determine whether you want this information for a city or county, or for the Central Business District within a city. Depending on how you answer this question, you will use either the Statewide or Urban Element of the CTPP. Once you have identified the unit of measure, or universe, you need to think about what you want to know about it. Let's say you are trying to identify the mode of travel used for work trips within a major travel corridor. Workers may be the unit of measure, but there are cross-tabuiations of workers by means of transportation and time leaving home. The results of your analysis will depend on whether you use peak period numbers or total numbers for the time workers leave home to go to work. Similarly, households or persons 17 are cross-tabulated by a variety of characteristics, including age, sex, employment status, vehicles available, income, etc. Which of these cross-tabs will be helpful to you as you conduct the analysis? If you decide to conduct an analysis using the CTPP Urban Element, which contains data summaries by census tract or traffic analysis zone, it may be necessary to combine or aggregate areas. In the above corridor analysis example, you will likely have to identify the TAZs in which the employment center is contained, then group them accordingly to summarize the characteristics of workers by their place of work. If you analyze those workers by where they live, then you will need to aggregate place of residence TAZs to perform the analysis. Other manipulations of the data may be needed, depending on the analysis. Remember that you won't be able to disaggregate CTPP tables, but you can combine them. You can also combine data cross-tabulations, such as age categories, or means of transportation. For example, you may be interested in defining the means of transportation to work for females, ages 16 to 24. You could combine several age categories to conduct this analysis. Also, If you are trying to analyze travel other than the trip from home to work, then you may have to convert the CTPP data (as described briefly in Chapter 3) or use other data sources to enhance the information contained in the CTPP. Finally, you need to ask yourself if there have been any major physical changes in the area or changes in travel modes since 1990. If a new beltway has been completed, a light rail transit line developed or if a major employer has relocated, the 1990 CTPP will not reflect potential travel and place of work changes. Therefore, you will need to do some preliminary research about the study area before using the CTPP and making quick assumptions from the data. You might consider checking other sources of information to determine if there are reasons that the CTPP data might need to be adjusted, and if so, in what manner. If the study area has remained reasonably constant, then the CTPP can be an excellent source of baseline data for residence, workplace and journey-to-work characteristics. On the following page, questions are posed to reinforce the steps necessary to prepare for analysis with the CTPP. The example problem of developing a transit plan is used. Answer the questions as best as you can, and then compare your answers with those given on page 20. 18 Preparing for Analysis Using the CTPP Questions to be answered: 1. To help develop a transit plan for the urbanized area, your staff director has asked you to summarize the age and economic characteristics of those who are employed in areas not served by public transit. What would you choose as the primary unit of measure, or universe, in the CTPP? 2. What other information would you need to assemble before using the CTPP to assist you in this analysis? 3. What CTPP Element would you use to provide the information to the staff director? 4. What Part would contain information about employees by where they live? In what Part would you find employee characteristics by where they work? 5. What other cross-tabulations might be helpful in this analysis of workers? 6. Now turning to the Appendix, which tables would be most appropriate for this analysis? Answers appear on the following page. 19 Preparing for Analysis Using the CTPP Answers: 1. Workers Age 16 Years and Over 2. Transit system map and route maps to identify areas not served by public transit; a map of traffic analysis zones or census tracts to identify the geographic units of analysis; land use maps or aerial photos to provide detail about land use types and locations within the geographic area. 3. The Urban Element provides the data for this analysis at the TAZ or census tract level. The Statewide Element, with summaries at the place or county level, would not be able to provide enough detailed information on employee workplace locations. 4. Part 1 - Place of Residence in the Urban Element. Part 2 provides Place of Work information. 5. Vehicles Available; Household Income; Mobility Limitation Status; Time of Arrival at Work; Number of Workers in Households; etc. 6. Select tables for the analysis could include Table 1-10, Mobility Limitation Status by Employment Status; Table 1-18, Number of Workers in Household by Vehicles Available; Table 1-44, Mobility Limitation Status by Means of Transportation to Work; Table 2-10, Earnings of Workers by Means of Transportation (Place of Work, Urban Element); Table 2-17, Vehicles Available by Means of Transportation to Work by Workers in Household; Table 2-18, Time of Arrival at Work by Means of Transportation. 20 CASE STUDIES INTRODUCTION The two following case studies are taken from case studies used as part of the FHWA-sponsored Census Transportation Planning Package Applications Workshops (NHI Course No. 15131). They are intended to demonstrate "hands on" application of the CTPP data contained in tables from the Statewide and Urban Elements. The case studies use a series of Lotus spreadsheet templates to illustrate CTPP applications. A diskette is provided that includes all the templates needed for the case studies, plus additional case studies used in the three day workshop. The templates contain macro commands that automate the steps in the case studies. As you begin working on the case studies, it is important that you follow the instructions appearing in the upper right-hand corner of the screen. Those instructions guide you through the necessary steps, in sequential order. You may exit from the macro commands by typing "Q" or highlighting Quit from the case study menu that appears in the upper left-hand side of the screen. This will allow you to review the spreadsheet templates and calculation formulas. To get back into the macro commands after quitting, press the "Alt" and "C" keys simultaneously. If you get off track from the macro commands, you should exit from the program and re-start the case study. It is relatively easy to retrace your steps. Again, it is very important that, at least initially, you follow the command prompts that appear in the upper right-hand side of the screen. Although these spreadsheet templates were developed in an earlier version of Lotus 1-2-3, they should be able to work with current Windows-based spreadsheet programs, such as Lotus, Quattro and Excel. If the macro commands do not work in other software programs, you will need to use Lotus 1-2-3 version 2.2 to run the case study templates. You should create a CTPP directory on your computer's hard drive and copy the files from the diskette to it. The use of the Lotus environment for these templates does not constitute an endorsement of the software on the part of FHWA or other sponsoring agencies. You may work on the additional case studies, but the steps and answers are not provided in this handbook. ^ A series of questions follow each step in the case study. The questions are designed to make you think about how the data could be applied. The questions may not always have a right or wrong answer; in several cases, you must use your experience and intuition to determine an appropriate response. Suggested answers are provided at the end of the case studies. 21 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE OBJECTIVE: This Case Study provides an understanding of how the Statewide Element of the CTPP can help define or check parameters used for travel demand modeling. It is Case Study No. 5 on the diskette provided. MATERIALS PROVIDED: Lotus Template Files • CS-5-1A.WK1 • CS-5-1B.WK1 • CS-5-1C.WK1 • CS-5-1D.WK1 OVERVIEW OF CASE STUDY STEPS: Exhibit CS-A-1 provides a visual case study overview, and on page 25, a narrative introduction is given. You are also asked on that page to prepare for analysis and the case study steps by answering a few questions. On page 26, the steps begin, starting with Step 1 and setting up the problem. Answer the questions for Step 1, then turn the page to answer questions for Step 2, and so on until all questions are answered. Steps 2 through 6 require the use of the spreadsheets listed above. To use the spreadsheets, either select Case Study 5 (as it is named on the diskette) from the Case Study Menu (CS- MENU.WK1) or retrieve file CS-5-1AWK1 into a blank spreadsheet. Menus and prompts are provided for assistance. You must complete each and every step sequentially. If you miss a step in the spreadsheets, return to the Case Study Main Menu and start over* It is relatively easy to retrace your steps. • NOTE: This Case Study uses a conversion factor of 1.81 to convert Census JTW data into Home- based Work (HBW) trips for use in travel demand forecasting models. The details of developing this conversion factor are covered in the CTPP training course (and are included in case study 3 on the diskette provided with this handbook). The conversion factor is close to 2.0 because the JTW trips must be doubled to account for the trip from work to home. However, because of trip chaining, mode shift and other locally-derived factors, it is not accurate simply to double the JTW trips reported in the CTPP. FHWA is in the process of identifying conversion factors for different sized urban areas. Contact CTPP Telephone Assistance or call FHWA to obtain further information about this effort; telephone numbers are included in Chapter 3. 23 CASE STUDY OVERVIEW Travel Demand Characteristics by Urban Area Size Exhibit CS-A-1 24 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE INTRODUCTION Urban areas in the State of States (Exhibit CS-A-2) have been growing rapidly. The Department of Transportation has recognized that as cities grow, travel characteristics change. To make sure that traffic forecasts take into account changing travel characteristics, the DOT is attempting to develop reasonable relationships between urban area size (defined by population) and key travel parameters (trip rates, trip lengths, vehicle occupancies, etc.). These relationships will help check the reasonableness of traffic forecasts made for each of the state's urban areas. Exhibit CS-A-2 PREPARING FOR ANALYSIS: In order to use the CTPP in this exercise, you will need to think about how the analysis will be conducted. Remember the questions presented earlier in this handbook that should serve as guidelines for analysis using the CTPP. 1. Based on the case study introduction, what would be the likely unit(s) of measure needed in this analysis? 2. What is the geographic area of analysis needed? 3. What do you want to find out about the urban areas in the State of States? . 4. • Refer to the Appendix. Given your answers to questions 1 -3 above, in what CTPP tables could you find the data needed for this analysis? 5. Are manipulations of the CTPP data necessary? Why or why not? 25 The following steps are used: Remember when working in the spreadsheets, the following commands may be helpful: Exit Macros: Type "Q" or "Quit" Rejoin Macros: Type ALT and C simultaneously Identify populations in the State of States' urban areas Identify the total urban area population here (using CTPP Table A-1) for each city in the State of States. (This has been done and is stored in the case study worksheets.) Determine work trips rates by urban areas Download CTPP Table A-4 to determine total households for each urban area. Then, download CTPP Table C-1 to determine total work trips by urban area. (This has been done and results are stored in file HH- JTW.PRN) 2.2 Convert JTW trips to HBW trips. Enter 1.81 (the conversion factor developed based on local data to convert CTPP Journey-to-Work data-see Note on pg. 23). The program will automatically multiply the factor by the JTW trips to estimate daily HBW trips. 2.3 Divide HBW trips by households. The program will automatically divide total HBW trips by households for each urban area to determine average trip rates. 26 Step 1: 1.1 Step 2: 2.1 At the Completion of These Steps, the Screen Should Look Like This: A1: CU6] MENU Step 2.1 Step 2.2 Step 2.] Review Step 3 Quit OS Menu Import HHs and J-T-W trips A B C D E F G H 1 2 TRIP RATES BY URBAN AREA SIZE 3 4 Total JTW to HBU HBU 5 JTW HBU Person Trips/ 6 City 7 ...... Population Households Trips Factor Trips HH 8 1 50,000 21,739 32,428 1.81 58,695 2.70 9 2 65,000 29,545 43,787 1.81 79,254 2.68 10 3 150,000 68,182 98,318 1.81 177,956 2.61 11 4 225,000 107,143 149,171 1.81 270,000 2.52 12 5 275,000 125,000 170,235 1.81 308,125 2.47 13 6 550,000 261,905 322,317 1.81 583,394 2.23 14 7 675,000 337,500 412,086 1.81 745,876 2.21 IS a 850,000 472,222 538,098 1.81 973,957 2.06 16 9 950,000 558,824 611,310 1.81 1,106,471 1.98 17 18 19 20 CHD 27 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE 1. Identify and Classify State's Urban Areas 1.1 Identify Urban Area Population 1.2 Classify Urban Areas Questions to be answered: Step 1.1 1. What other CTPP Tables could you use to find each urban area's population? Remember: (1) What information (universe) are we trying to measure; (2) At what geographic level; and (3) What other variables or characteristics of the universe are needed, if any? 2. As the population of an urban area increases, how would you expect the following travel characteristics to change, if at all? • work trip rates per household • work trips lengths (daily/peak period) • work trip vehicle occupancies • the percentage of work trips made by transit • the percentage of peak period trips 28 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE TRIP RATES BY URBAN AREA SIZE Trip Generation Models Questions to be answered: Step 2.1 1. How are total households (HHs) cross-tabulated in the CTPP? What are the cross-tabulations in the table that contains Journey-to-Work (JTW) trips? 2. After completing Step 2.1 in the spreadsheet, how many JTW trips are generated in River City? Step 2.2 3. Use the factor of 1.81 to convert JTW to HBW trips. Do you think this factor will vary by urban area size and, if so, how? 4. After completing Step 2.2, how many HBW trips are generated per day in River City? * % Step 2.3 5. What city has the highest trip rate? the lowest? 6. The case study calculates an overall trip rate for each urban area. Would you expect a variation of trip rates by HH characteristics? If so, what characteristics influence trip rates and what CTPP tables would you use to identify trip rates by HH type by urban area size? 29 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE Step 3 Determine Vehicle Occupancies and Mode Splits bv Urban Area 3.1 Download CTPP Table 0-3, Vehicle Occupancies (this has been done and is stored in file VEH-OCC.PRN) 3.2 Download CTPP Table 0-1, Workers by Time Leaving Home to Go to Work and Means of Transportation (this has been done and is stored in file JTW- MODE.PRN) 3.3 Calculate mode split (non-vehicle work trips) using the following formula: Mode Split = Non-Vehicle Trips/Total Trips The spreadsheet formula automatically entered in cell E8 is: +G8/F8 NOTE: Non-vehicle work trips refers to all modes other than personal automobile (the Census questionnaire asks how many vehicles are available in the household). The Screen Should Look Like This: E8: (PI) ♦G8/F8 Press Enter to return to menu A B C D E F G 1 VEHICLE OCCUPANCIES AND MODE SPLIT BY URBAN AREA 2 3 Non- 4 JTW Total Vehicle 5 Vehicle Mode JTW JTW 6 7 City Population Occupancy Split Trips Trips 1 8 1 50,000 1.25 0.1X 28,465 28 9 2 65,000 1.36 0.1X 39,502 40 10 3 150,000 1.30 0.1X 97,941 98 11 4 225,000 1.27 O.U 165,746 166 12 5 275,000 1.31 0.3% 194,751 584 13 6 550,000 1.29 0.8% 373,323 2,987 U 7 675,000 1.27 0.9% 466,160 4,195 15 8 850,000 1.26 1.9% 547,882 10,410 16 9 950,000 1.27 2.0% 623,660 12,473 17 18 19 20 21-May-92 08:55 AM CHO 30 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE VEHICLE OCCUPANCIES AND MODE SPLIT 3. Determine Vehicle Occupancies and Mode Splits by Urban Area CTPP Tables(s) 3.1 Download Vehicles Used in Trip to Work CTPP Tables(s) 3.2 Download Vehicle Occupancies 3.3 Calculate Mode Split (Non-Vehicle Trips) 1 1 Mode Split 1 Models Questions to be answered: Step 3.1 1. What is the universe of the CTPP Table used to determine vehicle occupancies? 2. After completing Step 3.1, what is the average vehicle occupancy in Capital City? Step 3.2 3. What travel modes in CTPP Table C-1 would you use to determine non-vehicle trips? 4. How many non-vehicle trips were made in Green City? Step 3.3 5. How did you calculate mode split using Table C-1? 6. What is the mode split (percentage of non-vehicle trips) in Border City? 31 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE Step 4 Determine Peak-to-Dailv Ratios (% Peak) 4.1 Download CTPP Table 0-1. (This has already been done and stored in file DAILY-PK.PRN) 4.2 Calculate peak period-to-daily percentage. Peak period JTW trips are divided into daily HBW trips using the following formula in cell F8: +E8/D8 The Screen Should Look Like This: A1: CUT] 'ESTIMATE PEAK Step A.I Step A.2 Review Go to Step A A B C Step 5 Quit CS Menu E 1 •y ESTIMATE PEAK HOUR PERCENTAGES c 3 AM Peak A Dai ty Period Peak Period 5 HSU JTW to Daily 6 7 City Population Trips T r i ps Ratio f 8 1 50,000 51,522 18,909 36.7X 9 2 65,000 71,A99 27,313 38.2X 10 3 150,000 177,273 66,300 37.AX 11 A 225,000 300,000 11A,900 38.3X 12 5 275,000 352,A99 136,A17 38.7X 13 6 550,000 675,715 268,935 39.8X 1A 7 675,000 8A3,750 329,906 39.IX 15 8 850,000 991,666 398,650 A0.2X 16 9 950,000 1,128,825 A63,9A7 A1.1X 1 f 18 19 20 CHD MENU 32 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE PERCENTAGE OF PEAK PERIOD TRIPS Questions to be answered: Step 4.1 1. What is the universe of the CTPP Table you used to determine daily and peak JTW trips? 2. How is the peak period defined in Table C-1? 3. What tables could you use to determine peak hour JTW trips from the CTPP? 4. How many peak period JTW trips are generated a day in River City? Step 4.2 5. What city has the highest percentage of peak period trips? 33 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE Step 5 Determine Average Daily and Peak Hour Travel Times 5.1 Download CTPP Table C-7 (C-6 can also be used and may be preferable when the travel time distribution is thought to be extremely skewed or to have outliers). This has already been done and stored in file T-TIMES. PRN. Step 6 Graph travel characteristics/urban size relationships and determine the statistical strength of relationships 6.1 Import trip rates calculated in Step 2. 6.2 Import vehicle occupancies and mode splits calculated in Step 3. 6.3 Import percentages calculated in Step 4. The Screen Should Look Like This: A1: [W5] 'Surmary of Ur Step 5.1 Step 6.1 Step 6.2 Step 6.3 Step 6.4 Quit CS-Menu Import travel times AB C DEF GH 1 Summary of Urban Area Travel Characteristics 2 3 4 MENU Travel Time (minutes) HBU 5 Trips Vehicle Mode Peak to 6 7 8 City Pop. HHs Dai ly Peak per HH Occpncy Split Dai ly 1 50,000 21,739 5.4 5.8 2.70 1.25 0.1X 36.7X 9 2 65,000 29,545 5.3 6.0 2.68 1.36 0.1X 38.2X 10 3 150,000 68,182 5.7 6.1 2.61 1.30 0.1X 37.4X 11 4 225,000 107,143 6.3 6.7 2.52 1.27 0.1X 38.3X 12 5 275,000 125,000 6.6 6.9 2.47 1.31 0.3X 38.7X 13 6 550,000 261,905 7.5 8.5 2.23 1.29 0.8X 39.8X 14 7 675,000 337,500 7.4 8.7 2.21 1.27 0.9X 39.IX 15 8 850,000 472,222 10.3 12.6 2.06 1.26 1.9X 40.2X 16 9 950,000 558,824 11.7 13.3 1.98 1.27 2.OX 41.IX 17 18 19 20 CHO 34 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE TRIP LENGTH VS. URBAN AREA SIZE Questions to be answered: Step 5 1. What are the universes of CTPP Tables used to identify travel times? When is it appropriate to use median travel times? CTPP reports perceived travel times that may differ from actual travel times. How would you expect actual travel times to differ from perceived travel times? What is the average JTW travel time for River City? 35 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE 6.4 Review relationships 6.4.1 Prepare scatterplots of travel characteristics/urban size relationships to "see" relationships for trip rates, travel times, vehicle occupancies, mode splits and peak percentages as shown in Exhibits CS-A-3 through CS-A-7. 6.4.2 Use regression analysis to determine statistical relationships between travel characteristics and urban size. Regression results are shown in Exhibit CS-A-8. 36 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE TRIP RATE SCATTERPLOT HOME BASED WORK PERSON TRIP RATES 2.6 2.7 - °o 2/S - □ 10 kl 5 5 a 23 2.^ 23 22 2J 2 _ □ 0 □ □ D □ W 1 1 1 1 0 03 0,4 0.0 (Millions) POPULATION OA 1 Exhibit CS-A-3 37 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE TRAVEL TIME SCATTERPLOT DAILY 0.4 0.6 (Millions) POPULATION + PEAK PERIOD HBW TRAVEL TIMES Exhibit CS-A-4 38 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE VEHICLE OCCUPANCY SCATTERPLOT HBW VEHICLE OCCUPANCIES 0.4 0.6 (Millions) POPULATION Exhibit CS-A-5 39 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE TRANSIT SCATTERPLOT HBW NON-VEHICLE TRIPS (MODE SPLIT) 0.4 0.6 (Millions) POPULATION Exhibit CS-A-6 40 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE PEAK-TO-DAILY SCATTERPLOT HBW PEAK HOUR-TO-DAILY RATIO 0.2 0.4 0.6 (Millions) POPULATION Exhibit CS-A-7 41 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE REGRESSION RESULTS H8U Rates Regression Output: Constant 2.714 Std Err of Y Est 0.030 R Squared 0.988 No. of Observations 9 Degrees of Freedom 7 X Coefficient(s) -0.000 Std Err of Coef. 0.0000 HBU Travel Times Regression Output Coristant Std Err of Y Est R Squared No. of Observations Degrees of Freedom X Coefficient(s) Std Err of Coef. 4.7578937442 0.7723154478 0.8957276139 9 7 0.0000061686 0.0000007955 KBW Vehicle Occupancies Regression Output Constant Std Err of Y Est R Squared No. of Observations Degrees of Freedom X Coefficient(s) Std Err of Coef. -0.0000000428 0.0000000332 1.3046785449 0.0322392056 0.191603929 9 7 Hode-SplitRegression Output: Constant -0.00 Std Err of Y Est 0.002 R Squared 0.924 No. of Observations Degrees of Freedom X Coefficient(s) 0.0000 Std Err of Coef. 0.0000 9 7 HBU Peak to Daily Ratios - Regression Output Constant Std Err of Y Est R Squared Ho. of Observations Degrees of Freedom 0.3726705556 0.0056942254 0.8517891937 9 7 X Coefficient(s) Std Err of^Coef. 0.0000000372 0.0000000059 Exhibit CS-A-8 42 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE GRAPH AND SUMMARIZE RELATIONSHIPS Questions to be answered: Step 6.4 1. What is the general relationship between trip rates and population as illustrated by the scatterplot? 2. What is the R^ for trip rates and population? 3. Does the scatterplot indicate a strong relationship between travel times and population? 4. What is the R^ for daily travel times and population? 5. Does the scatterplot indicate a strong relationship between vehicle occupancies and population? 6. What is the R^ for vehicle occupancies and population? Is it lower than expected after reviewing the scatterplot and, if so, why? 7. Are groupings of the mode split data points evident? What may have caused these groupings? 8. What is the R^ for mode split and population? 9. Is there a strong relationship between peak hour percentages and population? Are groupings evident? 10. What is the R for peak hour percentages and population? 43 CASE STUDY: TRAVEL DEMAND CHARACTERISTICS BY URBAN AREA SIZE Other Questions: 1. How would you use the relationships found from the data for travel demand forecasting? 2. Could you extrapolate these relationships to urban areas that are larger or smaller than those in the State of States? 44 CASE STUDY: ASSESSING COMMUTER BUS SERVICE (USING THE CTPP DIRECTLY FOR TRANSPORTATION PLANNING ANALYSIS) INTRODUCTION The city council is concerned about the commuter bus service currently provided to workers in the CBD. They would like to know which routes are effective, those that are not and why the ineffective routes are operating poorly. To provide the information needed, use CTPP tables and the steps presented on the following pages. Bus ridership among choice riders (those who have access to a personal vehicle) is typically influenced by the following factors: • comparative bus vs. auto travel times (bus times include time spent waiting for the bus, ride time and, if necessary, time to transfer); • comparative travel costs (auto operating costs vs. bus fare); • parking costs; and • other factors (such as the walk distance to or from bus stops). Commuter bus fares and downtown parking costs are the same for all commuter routes. Therefore, either travel times or some other factors affect ridership among routes. Use the CTPP tables to identify those routes with comparatively poor travel times versus auto travel. This information will be used to determine route changes that can be made to improve travel times for identified routes. In addition, travel time/mode share comparisons will indicate whether other factors are influencing mode share. If so, more detailed analysis will be conducted for the identified routes in an attempt to find out what those other factors are. This case study is CS-4 on the Lotus diskette provided. To begin, select Case Study 4, Situation 2, from the CS-Menu spreadsheet or retrieve file "CS-4-2.WK1" into a blank Lotus 1-2-3 spreadsheet. Use the menus provided in the spreadsheet to step through the case study and answer the case study questions presented on the following pages. * 45 CASE STUDY: ASSESSING COMMUTER BUS SERVICE Exhibit CS-B-1 46 ASSESSING THE EFFECTIVENESS OF COMMUTER BUS SERVICE PREPARING FOR ANALYSIS: 1. The city council has asked about the effectiveness of commuter bus service. What is the universe in the CTPP that would provide data for this analysis? 2. What would be the most useful geographic summary level for this analysis? 3. What types of information will be needed up front before using the CTPP? 4. What information about commuter bus service would help to find solutions for the city council? 5. Turn now to the Appendix. What CTPP tables would be most helpful in doing this analysis? 47 CASE STUDY: ASSESSING COMMUTER BUS SERVICE This step has already been done. The CBD Traffic Analysis Zones are shown below: TAZ Map 1. Identify CBD TAZs 1 r Exhibit CS-B-2 48 CASE STUDY: ASSESSING COMMUTER BUS SERVICE This step has already been done. Travel sheds are shown below: r Bus Route Map 2. Identify Route Travelsheds Travelshed/TAZ Equivalency r KATbor SMtStifi CrJAnr rf4«t«l Wijr/Avbvin K«ni/Sosi C>t«k Bur(«ft/T4iKwC!A.'K«At8A to. Sov'.HSaaiCA IS. 12. HiJ/Qv«oat, motorcycle, or other means Worked at home 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-14 1990 1980 Tabia Table Title Total number of data cells 1-36. N/A TIME LEAVING HOME TO GO TO W0RK(7) BY MEANS OF TRANSPORTATION(IO) ... 70 Universe: Workers 16 years and over who did not work at home Total, time leaving home to go to work: All workers who did not work at home Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means 5:30 a.m. to 6:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 6:30 a.m. to 7:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 7:30 a.m. to 8:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 8:30 a.m. to 9:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 9:30 a.m. to 10:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 10:30 a.m. to 5:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 1 -37. N/A MEANS OF TRANSPORTATION TO WORK(IO) BY TRAVEL TIME TO WORK(16) 160 Universe: Workers 16 years and over who did not work at home Workers who did not work at home: All travel times Less than 5 minutes 5 to 9 minutes 10 to 14 minutes 15 to 19 minutes 20 to 24 minutes 25 to 29 minutes 30 to 34 minutes 35 to 39 minutes 40 to 44 minutes • 45 to 49 minutes « 50 to 54 minutes 55 to 59 minutes 60 to 74 minutes 75 to 89 minutes 90 minutes or more Drove alone: (Repeat TRAVEL TIME TO WORK) In 2-person carpool: (Repeat TRAVEL TIME TO WORK) In 3-person carpool: 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-15 1990 1980 Table Table Title Total number of data cells (Repeat TRAVEL TIME TO WORK) In 4-or-more-person carpool: (Repeat TRAVEL TIME TO WORK) Bus or trolley bus: (Repeat TRAVEL TIME TO WORK) Streetcar, trolley car, subway, or elevated: (Repeat TRAVEL TIME TO WORK) Railroad: (Repeat TRAVEL TIME TO WORK) Bicycle or walked: (Repeat TRAVEL TIME TO WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TRAVEL TIME TO WORK) 1 - 3 8. N/A MEDIAN TRAVEL TIME TO WORK IN MINUTES(1) BY MEANS OF TRANSPORTATION(IO) 10 Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means 1 - 3 9. N/A MEAN TRAVEL TIME TO WORK IN MINUTES(1) BY MEANS OF TRANSPORTATION(IO) 10 Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool « Bus or trolley bus Streetcar, trolley car, subway, or elevated * Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means 1-40. N/A AGGREGATENUMBER0FVEHICLESUSEDINTRAVELT0W0RK(1) 1 Universe:Workers 16 years and over using a car, truck, or van Total 1-41.1-21 WORKERS PER VEHICLE(I) 1 Universe: Workers 16 years and over using a car, truck, or van Total 1990 CTPP TABLE OUTLINES-Part 1 August 6. 1993 Page 1-16 1990 1960 Total number Table Table Title of data cells 1 -4 2. N/A AGGREGATE NUMBER OF VEHICLES USED IN CARPOOUNG(I) 1 Universe: Workers 16 years and over In a carpool Total 1-43.1-22 WORKERS PER CARPOOL(I) 1 Universe: Workers 16 years and over in a cejpooi Total 1 -4 4. N/A MOBILITY UMITATION STATUS(3) BY MEANS OF TRANSPORTATION TO W0RK(11).. 33 Universe: Workers 16 years and over Total, mobility limitation status: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home With a mobility limitation: (Repeat MEANS OF TRANSPORTATION) No mobility limitation: (Repeat MEANS OF TRANSPORTATION) HOUSEHOLD INCOME IN 1989(26) BY MEANS OF TRANSPORTATION TO W0RK(11) FOR WORKERS IN HOUSEHOLDS 286 Universe: Workers 16 years and over in households Total, household income for workers in households: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad • Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home Less than $5,000: (Repeat MEANS OF TRANSPORTATION) $5,000 to $9,999: (Repeat MEANS OF TRANSPORTATION) $10,000 to $12,499: (Repeat MEANS OF TRANSPORTATION) $12,500 to $14,999: (Repeat MEANS OF TRANSPORTATION) 1-45. 1-24 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-17 1090 1980 Table Tebie Total number of data cells $15,000 to $17,499: (Repeat MEANS OF TRANSPORTATION) $17,500 to $19,999: (Repeat MEANS OF TRANSPORTATION) $20,000 to $22,499: (Repeat MEANS OF TRANSPORTATION) $22,500 to $24,999: (Repeat MEANS OF TRANSPORTATION) $25,000 to $27,499: (Repeat MEANS OF TRANSPORTATION) $27,500 to $29,999: (Repeat MEANS OF TRANSPORTATION) $30,000 to $32,499: (Repeat MEANS OF TRANSPORTATION) $32,500 to $34,999: (Repeat MEANS OF TRANSPORTATION) $35,000 to $37,499: (Repeat MEANS OF TRANSPORTATION) $37,500 to $39,999: (Repeat MEANS OF TRANSPORTATION) $40,000 to $42,499: (Repeat MEANS OF TRANSPORTATION) $42,500 to $44,999: (Repeat MEANS OF TRANSPORTATION) $45,000 to $47,499: (Repeat MEANS OF TRANSPORTATION) $47,500 to $49,999: (Repeat MEANS OF TRANSPORTATION) $50,000 to $54,999: (Repeat MEANS OF TRANSPORTATION) $55,000 to $59,999: (Repeat MEANS OF TRANSPORTATION) $60,000 to $74,999: (Repeat MEANS OF TRANSPORTATION) $75,000 to $99,999: (Repeat MEANS OF TRANSPORTATION) $100,000 to $124,999: (Repeat MEANS OF TRANSPORTATION) * $125,000 to $149,999: (Repeat MEANS OF TRANSPORTATION) $150,000 or more: (Repeat MEANS OF TRANSPORTATION) 1-46.1-24 MEDIAN HOUSEHOLD INCOME(I) BY MEANS OF TRANSPORTATION TO WORK(11) FOR WORKERS IN HOUSmOLDS 11 Universe: Workers 16 years and over in households Total Drove alone In 2-person carpool In 3-person carpool 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-18 1990 1980 Table Table litle. Total number of data cells In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home 1-47. 1-24 MEAN HOUSEHOLD INCOME(I) BY MEANS OF TRANSPORTATION TO WORK(II) FOR WORKERS IN HOUSEHOLDS 11 Universe: Workers 16 years and over In households Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home 1-48.1-27 VEHICLES AVAILABLE(6) BY MEANS OF TRANSPORTATION TO W0RK(11) FOR WORKERS IN HOUSEHOLDS 66 Universe: Workers 16 years and over in households Total, vehicles available: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home No vehicles: • (Repeat MEANS OF TRANSPORTATION) • 1 vehicle: (Repeat MEANS OF TRANSPORTATION) 2 vehicles: (Repeat MEANS OF TRANSPORTATION) 3 vehicles: (Repeat MEANS OF TRANSPORTATION) 4 or more vehicles: (Repeat MEANS OF TRANSPORTATION) 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-19 1990 1980 Iat2lfi Table Title Total number of data cells 1 - 4 9. N/A PERSONS IN H0USEH0LD(5) BY WORKERS IN H0USEH0LD(5) FOR WORKERS .... 25 Universe: Workers 16 years and over In households Total, persons in household: All workers in households Workers in 1-worker household Workers in 2-worker household Workers in 3-worker household Workers in 4-or-more-worker household 1 person in household: (Repeat WORKERS IN HOUSEHOLD) 2 persons in household: (Repeat WORKERS IN HOUSEHOLD) 3 persons in household: (Repeat WORKERS IN HOUSEHOLD) 4 or more persons in household: (Repeat WORKERS IN HOUSEHOLD) 1 - 5 0. N/A WORKERS IN GROUP QU/>iRTERS(1) 1 Universe: Workers 16 years and over in group quarters Total 1 - 51. N/A MEANS OF TRANSPORTATION TO W0RK(11) FOR WORKERS IN GROUP QUARTERS ..11 Universe: Workers 16 years and over in group quarters Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home 1 - 5 2. N/A MEDIAN TRAVEL TIME TO WORK IN MINUTES(1) BY MEANS OF • TRANSP0RTATI0N(19) 19 ^ Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-per8on carpool In 4-person carpool In 5-person carpool In G-person carpool In 7-to-9-per8on carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-20 1990 1980 Table Table JiU^ Total number of data cells Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means 1 - 5 3. N/A MEAN TRAVEL TIME TO WORK IN MINUTES(I) BY MEANS OF Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool in 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means 1-54. N/A STANDARD DEVIATION OF TRAVEL TIME TO WORK IN MINUTES(1) BY MEANS OF Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle TRANSP0RTATI0N(19) 1 9 TRANSP0RTATI0N(19) 1 9 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-21 1990 1980 Table Table liU^ Total number of data cells Bicycle Walked Other means 1 -5 5. N/A MEDIAN TRAVEL TIME IN MINUTES{1) BY MEANS OF TRANSPORTATION(IO) BY TIME LEAVING HOME TO GO TO W0RK(7) 7 0 Universe: Workers 16 years and over who did not work at home All workers who did not work at home: All departure times 5:30 a.m. to 6:29 a.m. 6:30 a.m. to 7:29 a.m. 7:30 a.m. to 8:29 a.m. 8:30 a.m. to 9:29 a.m. 9:30 a.m. to 10:29 a.m. 10:30 a.m. to 5:29 a.m. Drove alone: (Repeat TIME LEAVING HOME TO GO TO WORK) In 2-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) In 3-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) In 4-or-more-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) Bus or trolley bus: (Repeat TIME LEAVING HOME TO GO TO WORK) Streetcar, trolley car, subway, or elevated: (Repeat TIME LEAVING HOME TO GO TO WORK) Railroad: (Repeat TIME LEAVING HOME TO GO TO WORK) Bicycle or walked: (Repeat TIME LEAVING HOME TO GO TO WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TIME LEAVING HOME TO GO TO WORK) 1 - 56. N/A MEAN TRAVEL TIME IN MINUTES(1) BY MEANS OFTRANSPORTATION(IO) BY TIME LEAVING HOME TO GO TO W0RK(7) a. 70 Universe: Workers 16 years and over who did not work at home ^ All workers who did not work at home: All departure times 5:30 a.m. to 6:29 a.m. 6:30 a.m. to 7:29 a.m. 7:30 a.m. to 8:29 a.m. 8:30 a.m. to 9:29 a.m. 9:30 a.m. to 10:29 a.m. 10:30 a.m. to 5:29 a.m. Drove alone: (Repeat TIME LEAVING HOME TO GO TO WORK) In 2-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) In 3-person carpool: 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-22 1990 1980 Table Table IIUsl Total number of data cells (Repeat TIME LEAVING HOME TO GO TO WORK) In 4-or-more-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) Bus or trolley bus: (Repeat TIME LEAVING HOME TO GO TO WORK) Streetcar, trolley car, subway, or elevated; (Repeat TIME LEAVING HOME TO GO TO WORK) Railroad: (Repeat TIME LEAVING HOME TO GO TO WORK) Bicycle or walked: (Repeat TIME LEAVING HOME TO GO TO WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TIME LEAVING HOME TO GO TO WORK) 1 - 5 7. N/A STANDARD DEVIATION OF TRAVEL TIME IN MINUTES(1) BY MEANS OF TRANSPORTATION(IO) BY TIME LEAVING HOME TO GO TO W0RK(7) 7 0 Universe: Workers 16 years and over who did not work at home All workers who did not work at home: All departure times 5:30 a.m. to 6:29 a.m. 6:30 a.m. to 7:29 a.m. 7:30 a.m. to 8:29 a.m. 8:30 a.m. to 9:29 a.m. 9:30 a.m. to 10:29 a.m. 10:30 a.m. to 5:29 a.m. Drove alone: (Repeat TIME LEAVING HOME TO GO TO WORK) In 2-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) In 3-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) In 4-or-more-person carpool: (Repeat TIME LEAVING HOME TO GO TO WORK) Bus or trolley bus: (Repeat TIME LEAVING HOME TO GO TO WORK) Streetcar, trolley car, subway, or elevated: (Repeat TIME LEAVING HOME TO GO TO WORK) Railroad: « (Repeat TIME LEAVING HOME TO GO TO WORK) ^ Bicycle or walked: (Repeat TIME LEAVING HOME TO GO TO WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TIME LEAVING HOME TO GO TO WORK) 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-23 1-58. N/A TOTAL HOUSING UNITS(I) 1 Universe: Housing units Total 1 - 5 9. N/A UNWEIGHTED SAMPLE COUNT OF HOUSING UNITS(1) 1 Universe: Housing units Total 1 - 6 0. N/A PERCENT OF HOUSING UNITS IN SAMPLE(1) 1 Universe: Housing units Total 1-61. N/A VACANCYSTATUS(5) 5 Universe: Vacant housing units Total For rent For sale only For seasonal, recreational, or occasional use All other vacants 1-62.1-13 OCCUPANCY STATUS(3) BY UNITS IN STRUCTURE(7) 21 Universe: Housing units Total, occupancy status: Total, units in structure 1 unit, detached 1 unit, attached 2 to 4 units 5 or more units Mobile home or trailer Other Occupied: (Repeat UNITS IN STRUCTURE) Vacant: (Repeat UNITS IN STRUCTURE) 1-63. N/A AGGREGATE VEHICLES AVAILABLE(I) 1 Universe: Occupied housing units Total • TOTAL NUMBER OF DATA CELLS IN PART 1: 2,481 PART 1 RECORD SELECTION CRITERIA: All the the persons, households, and workers who live In CTPP region, and all housing units located In CTPP region. 1990 CTPP TABLE OUTLINES-Part 1 August 5, 1993 Page 1-24 1990 CTPP TABLE OUTLINES Urban Element Part 2-Tabulatlons by Area of Work Note: A colon(:) after an entry below Indicates that the entry is a heading, not a data ceii. The heading is a modifier or descriptor of the categories indented beneath it, but no data are associated with the heading line. 1990 1980 Total number Table Table Title of data cells 2 -1. Ill - 7 HISPANIC 0RIGIN(3) BY RACE(4) BY MEANS OF TRANSPORTATION TO WORK(II) 132 Universe: Workers 16 years and over Total, Hispanic origin: All races: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home White: (Repeat MEANS OF TRANSPORTATION TO WORK) Black: (Repeat MEANS OF TRANSPORTATION TO WORK) Other: (Repeat MEANS OF TRANSPORTATION TO WORK) Not of Hispanic origin: (Repeat RACE By MEANS OF TRANSPORTATION TO WORK) Hispanic origin: (Repeat RACE By MEANS OF TRANSPORTATION TO WORK) * 2-2. 111*1 SEX(3) BY 0CCUPATI0N(15) OF WORKERS 4 5 Universe: Workers 16 years and over Both sexes: All occupations Executive, administrative, and managerial occupations (000-042) Professional specialty occupations (043-202) ^Technicians and related support occupations (203-242) ^ Sales occupations (243-302) 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-1 1990 1980 Table Table liM Total number of data cells ^Administrative support occupations, including clerical (303-402) ^Private household occupations (403-412) Protective service occupations (413-432) -JService occupations, except protective and household (433-472) Farming, forestry, and fishing occupations (473-502) Precision production, craft, and repair occupations (503-702) -Machine operators, assemblers, and inspectors (703-802) -Transportation and material moving occupations (803-863) H-iandlers, equipment cleaners, helpers, and laborers (864-902) Armed Forces Male: (Repeat CXJCUPATION) Female: (Repeat OCCUPATION) 2-3. 111-2 SEX(3) BYINDUSTRY(19)0FW0RKERS 5 7 Universe: Workers 16 years and over Both sexes: All industries Agriculture, forestry, and fisheries (000-039) Mining (040-059) Construction (060-099) Manufacturing, nondurable goods (100-229) Manufacturing, durable goods (230-399) Transportation (400-439) Communications and other public utilities (440-499) Wholesale trade (500-579) Retail trade (580-699) Finance, insurance, and real estate (700-720) Business and repair services (721-760) Personal services (761-799) Entertainment and recreation services (800-811) Health services (812-840) Educational services (842-860) Other professional and related services (841, 861-899) Public administration (900-939) • Armed Forces (940-960) « Male: (Repeat INDUSTRY) Female: (Repeat INDUSTRY) 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-2 1990 1980 Total number Table Table Title of data C9llS 2 - 4. Ill - 3 SEX(3) BY CLASS OF W0RKER(8) OF WORKERS 24 Universe: Workers 16 years and over Both sexes: Total, class of worker Private for profit wage and salary workers Private not-for-profit wage and salary workers Local government workers State government workers Federal government workers Self-employed workers Unpaid family workers Male: (Repeat CLASS OF WORKER) Female: (Repeat CLASS OF WORKER) 2 - 5. N/A SEX(3) BY NUMBER OF HOURS WORKED LAST WEEK(6) OF WORKERS 18 Universe: Workers 16 years and over Both sexes: Total, number of hours worked last week Less than 15 hours 15 to 20 hours 21 to 34 hours 35 to 40 hours Over 40 hours Male: (Repeat NUMBER OF HOURS WORKED LAST WEEK) Female: (Repeat NUMBER OF HOURS WORKED LAST WEEK) 2 - 6. 111 - 8 SEX(3) BY MEANS OF TRANSPORTATION TO W0RK(11) 33 Universe: Workers 16 years and over Both sexes: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated * Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-3 1990 1980 Table Table liiia Total number of data cells Male: (Repeat MEANS OF TRANSPORTATION TO WORK) Female: (Repeat MEANS OF TRANSPORTATION TO WORK) 2-7. 111-5 MEANS OF TRANSPORTATION TO WORK(20) 2 0 Universe: Workers 16 years and over Total Drove alone In 2-person carpool In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means Worked at home 2-8. N/A TIME OF ARRIVAL AT WORK OF WORKERS(39) 3 9 Universe: Workers 16 years and over who did not work at home Total 5:00 a.m. to 5:14 a.m. 5:15 a.m. to 5:29 a.m. 5:30 a.m. to 5:44 a.m. 5:45 a.m. to 5:59 a.m. ^ 6:00 a.m. to 6:14 a.m. 6:15 a.m. to 6:29 a.m. * 6:30 a.m. to 6:44 a.m. 6:45 a.m. to 6:59 a.m. 7:00 a.m. to 7:14 a.m. 7:15 a.m. to 7:29 a.m. 7:30 a.m. to 7:44 a.m. 7:45 a.m. to 7:59 a.m. 8:00 a.m. to 8:14 a.m. 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-4 1990 1980 Table Table Title Total number of data cells 8:15 a.m. to 8:29 a.m. 8:30 a.m. to 8:44 a.m. 8:45 a.m. to 8:59 a.m. 9:00 a.m. to 9:14 a.m. 9:15 a.m. to 9:29 a.m. 9:30 a.m. to 9:44 a.m. 9:45 a.m. to 9:59 a.m. 10:00 a.m. to 10:14 a.m. 10:15 a.m. to 10:29 a.m. 10:30 a.m. to 10:44 a.m. 10:45 a.m. to 10:59 a.m. 11:00 a.m. to 11:59 a.m. 12:00 p.m. to 12:59 p.m. 1:00 p.m. to 1:59 p.m. 2:00 p.m. to 2:59 p.m. 3:00 p.m. to 3:59 p.m. 4:00 p.m. to 4:59 p.m. 5:00 p.m. to 5:59 p.m. 6:00 p.m. to 6:59 p.m. 7:00 p.m. to 7:59 p.m. 8:00 p.m. to 8:59 p.m. 9:00 p.m. to 9:59 p.m. 10:00 p.m. to 10:59 p.m. 11:00 p.m. to 11:59 p.m. 12:00 a.m. to 4:59 a.m. 2-9. N/A NUMBER OF HOURS WORKED LAST WEEK(6) BY MEANS OF TRANSPORTATION Universe: Workers 16 years and over Total, number of hours worked last week: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home Less than 15 hours: (Repeat MEANS OF TRANSPORTATION TO WORK) 15 to 20 hours: TO WORK(II) 66 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-5 1990 1980 lable labia lilla Total number of data cells (Repeat MEANS OF TRANSPORTATION TO WORK) 21 to 34 hours: (Repeat MEANS OF TRANSPORTATION TO WORK) 35 to 40 hours; (Repeat MEANS OF TRANSPORTATION TO WORK) Over 40 hours; (Repeat MEANS OF TRANSPORTATION TO WORK) 2-10. III - 4 EARNINGS OF W0RKERS(12) BY MEANS OF TRANSP0RTATI0N(11) 132 Universe: Workers 16 years and over With earnings; All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home Less than $5,000 or loss; (Repeat MEANS OF TRANSPORTATION) $5,000 to $9,999; (Repeat MEANS OF TRANSPORTATION) $10,000 to $14,999; (Repeat MEANS OF TRANSPORTATION) $15,000 to $19,999; (Repeat MEANS OF TRANSPORTATION) $20,000 to $24,999; (Repeat MEANS OF TRANSPORTATION) $25,000 to $29,999; (Repeat MEANS OF TRANSPORTATION) $30,000 to $34,999; . (Repeat MEANS OF TRANSPORTATION) $35,000 to $49,999; (Repeat MEANS OF TRANSPORTATION) $50,000 to $74,999; (Repeat MEANS OF TRANSPORTATION) $75,000 or more; (Repeat MEANS OF TRANSPORTATION) No earnings; (Repeat MEANS OF TRANSPORTATION) 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-6 1990 1980 Table Table Title Total number of data cells 2 -11. 111 - 4 MEDIAN EARNINGS OF WORKERS(I) BY MEANS OF TRANSP0RTATI0N(11) 11 Universe: Workers 16 years and over with earnings Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home 2-12. 111 - 4 MEAN EARNINGS OF WORKERS(I) BY MEANS OF TRANSP0RTATI0N(11) 11 Universe: Workers 16 years and over with earnings Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home 2-13.111-10 AGGREGATE NUMBER OF VEHICLES USED IN TRAVEL TO W0RK(1) 1 Universe.Workers 16 years and over using a car, truck, or van Total 2-14.111-11 WORKERS PER VEHICLE(I) 1 Universe: Workers 16 years and over using a car, truck, or van Total 2-15. N/A AGGREGATE NUMBER OF VEHICLES USED IN CARPOOLING(I) 1 Universe: Workers 16 years and over in a carpooi • Total • 2-16. 111-12 WORKERS PER CARP00L(1) 1 Universe: Workers 16 years and over in a carpool Total 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-7 1990 1980 Table Table Title Total number of data cells 2 -1 7. Ill -1 4 VEHICLES AVAILABLE(6) BY MEANS OF TFWJSPORTATION TO W0RK(11) FOR WORKERS IN HOUSEHOLDS 6 6 Universe: Workers 16 years and over in households Total, vehicles available: All means of transportation Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means Worked at home No vehicles: (Repeat MEANS OF TRANSPORTATION) 1 vehicle: (Repeat MEANS OF TRANSPORTATION) 2 vehicles: (Repeat MEANS OF TRANSPORTATION) 3 vehicles: (Repeat MEANS OF TRANSPORTATION) 4 or more vehicles: (Repeat MEANS OF TRANSPORTATION) 2-18. N/A TIME OF ARRIVAL AT W0RK(7) BY MEANS OF TRANSPORTATION(IO) 70 Universe: Workers 16 years and over who did not work at home Total, time of arrival at work: All workers who did not work at home Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus • Streetcar, trolley car, subway, or elevated • Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means 5:30 a.m. to 6:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 6:30 a.m. to 7:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-8 1990 1980 Table Table Tille Total number of data cells 7:30 a.m. to 8:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 8:30 a.m. to 9:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 9:30 a.m. to 10:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 10:30 a.m. to 5:29 a.m.: (Repeat MEANS OF TRANSPORTATION) 2 -1 9. N/A MEANS OF TRANSPORTATION TO W0RK(10) BY TRAVEL TIME TO W0RK(16) 160 Universe: Workers 16 years and over who did not work at home Workers who did not work at home: All travel times Less than 5 minutes 5 to 9 minutes 10 to 14 minutes 15 to 19 minutes 20 to 24 minutes 25 to 29 minutes 30 to 34 minutes 35 to 39 minutes 40 to 44 minutes 45 to 49 minutes 50 to 54 minutes 55 to 59 minutes 60 to 74 minutes 75 to 89 minutes 90 minutes or more Drove alone: (Repeat TRAVEL TIME TO WORK) In 2-person carpool: (Repeat TRAVEL TIME TO WORK) In 3-person carpool: (Repeat TRAVEL TIME TO WORK) In 4-or-more-person carpool: (Repeat TRAVEL TIME TO WORK) Bus or trolley bus: (Repeat TRAVEL TIME TO WORK) . Streetcar, trolley car, subway, or elevated: (Repeat TRAVEL TIME TO WORK) Railroad: (Repeat TRAVEL TIME TO WORK) Bicycle or walked: (Repeat TRAVEL TIME TO WORK) 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-9 1990 1980 Total number labls Table liUs of data cells Taxicab, ferryboat, motorcycle, or other means: (Repeat TRAVEL TIME TO WORK) 2 - 2 0. N/A MEDIAN TRAVEL TIME TO WORK IN MINUTES(I) BY MEANS OF TRANSPORTATION(IO) 10 Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means 2-21. N/A MEAN TRAVEL TIME TO WORK (IN MINUTES)(1) BY MEANS OF TRANSPORTATION(IO) 10 Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool In 4-or-more-person carpool Bus or trolley bus Streetcar, trolley car, subway, or elevated Railroad Bicycle or walked Taxicab, ferryboat, motorcycle, or other means 2 - 2 2. N/A MEDIAN TRAVEL TIME TO WORK IN MINUTES(1) BY MEANS OF TRANSP0RTATI0N(19) 19 Universe: Workers 16 years and over who did not work at home Total Drove alone * In 2-person carpool • In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-10 1990 1980 lable Table liiia Total number of data cells Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means 2 - 2 3. N/A MEAN TRAVEL TIME TO WORK IN MINUTES(I) BY MEANS OF TRANSP0RTATI0N(19) 19 Universe: Workers 16 years and over who did not work at home Total Drove alone In 2-person carpool In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means 2 - 24. N/A STANDARD DEVIATION OF TRAVEL TIME TO WORK IN MINUTES(I) BY MEANS OF TRANSP0RTATI0N(19) 19 Universe: Workers 16 years and over who did not work at home Total Drove alone ^ In 2-person carpool ^ In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-11 1990 1980 Table Table liHa Total number of data cells In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means 2-25. N/A MEDIAN TRAVELTIME(1) IN MINUTES BY MEANS OF TRANSPORTATION(IO) BY TIME OF ARRIVAL AT W0RK(7) 7 0 Universe: Workers 16 years and over who did not work at home Workers who did not work at home: All arrival times 5:30 a.m. to 6:29 a.m. 6:30 a.m. to 7:29 a.m. 7:30 a.m. to 8:29 a.m. 8:30 a.m. to 9:29 a.m. 9:30 a.m. to 10:29 a.m. 10:30 a.m. to 5:29 a.m. Drove alone: (Repeat TIME OF ARRIVAL AT WORK) In 2-person carpool: (Repeat TIME OF ARRIVAL AT WORK) In 3-person carpool: (Repeat TIME OF ARRIVAL AT WORK) In 4-or-more-person carpool: (Repeat TIME OF ARRIVAL AT WORK) Bus or trolley bus: (Repeat TIME OF ARRIVAL AT WORK) Streetcar, trolley car, subway, or elevated: (Repeat TIME OF ARRIVAL AT WORK) Railroad: • (Repeat TIME OF ARRIVAL AT WORK) Bicycle or walked: (Repeat TIME OF ARRIVAL AT WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TIME OF ARRIVAL AT WORK) 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-12 1990 1980 labls Iat2ls liM Total numbei of data cells 2-26. N/A MEAN TRAVEL TIME IN MINUTES(1) BY MEANS OF TRANSPORTATION(IO) BY TIME OF ARRIVAL AT W0RK(7) 7 0 Universe: Workers 16 years and over who did not work at home Workers who did not work at home: All arrival times 5:30 a.m. to 6:29 a.m. 6:30 a.m. to 7:29 a.m. 7:30 a.m. to 8:29 a.m. 8:30 a.m. to 9:29 a.m. 9:30 a.m. to 10:29 a.m. 10:30 a.m. to 5:29 a.m. Drove alone: (Repeat TIME OF ARRIVAL AT WORK) In 2-person carpool: (Repeat TIME OF ARRIVAL AT WORK) In 3-person carpool: (Repeat TIME OF ARRIVAL AT WORK) In 4-or-more-person carpool: (Repeat TIME OF ARRIVAL AT WORK) Bus or trolley bus: (Repeat TIME OF ARRIVAL AT WORK) Streetcar, trolley car, subway, or elevated: (Repeat TIME OF ARRIVAL AT WORK) Railroad: (Repeat TIME OF ARRIVAL AT WORK) Bicycle or walked: (Repeat TIME OF ARRIVAL AT WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TIME OF ARRIVAL AT WORK) STANDARD DEVIATION OF TRAVEL TIME IN MINUTES(I) BY MEANS OF TRANSPORTATION(IO) BY TIME OF ARRIVAL AT W0RK(7) 7 0 Universe: Workers 16 years and over who did not work at home Workers who did not work at home: All arrival times 5:30 a.m. to 6:29 a.m. 6:30 a.m. to 7:29 a.m. 7:30 a.m. to 8:29 a.m. ^ 8:30 a.m. to 9:29 a.m. 9:30 a.m. to 10:29 a.m. 10:30 a.m. to 5:29 a.m. Drove alone: (Repeat TIME OF ARRIVAL AT WORK) In 2-person carpool: 2-27. N/A % 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-13 (Repeat TIME OF ARRIVAL AT WORK) In 3-person carpool: (Repeat TIME OF ARRIVAL AT WORK) In 4-or-more-person carpool: (Repeat TIME OF ARRIVAL AT WORK) Bus or trolley bus: (Repeat TIME OF ARRIVAL AT WORK) Streetcar, trolley car, subway, or elevated: (Repeat TIME OF ARRIVAL AT WORK) Railroad: (Repeat TIME OF ARRIVAL AT WORK) Bicycle or walked: (Repeat TIME OF ARRIVAL AT WORK) Taxicab, ferryboat, motorcycle, or other means: (Repeat TIME OF ARRIVAL AT WORK) TOTAL NUMBER OF DATA CELLS IN PART 2: 1,175 PART 2 RECORD SELECTION CRITERIA: All workers who work In the CTPP region, regardless of where they live. 1990 CTPP TABLE OUTLINES-Part 2 August 5, 1993 Page 2-14 1990 CTPP TABLE OUTLINES Urban Element Part 3'Tabulatlons of Area of Residence by Area of Work Note: A colon(:) after an entry below Indicates that the entry is a heading, not a data cell. The heading is a modifier or descriptor of the categories indented beneath it, but no data are associated with the heading line. 1990 1980 Total number Table Table Title of data cells 3 -1. IV -1 TIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) BY MEANS OF TRANSPORTATION TO W0RK(19) 38 Universe: Workers 16 years and over who did not work at home Total, time leaving home to go to work: Workers who did not work at home Drove alone In 2-person carpool In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means Peak period (6:30 a.m. to 8:29 a.m.): (Repeat MEANS OF TRANSPORTATION) 3-2. IV-3 AGGREGATE NUMBER OF VEHICLES USED IN TRAVEL TO W0RK(1)BYTIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) Universe.Workers 16 years and over using a car, truck, or van Total, time leaving home to go to work ^ Peak period (6:30 a.m. to 8:29 a.m.) 3-3. IV-3 WORKERS PER VEHICLE(1) BY TIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) 2 Universe: Workers 16 years and over using a car, truck, or van Total, time leaving home to go to work Peak period (6:30 a.m. to 8:29 a.m.) 1990 CTPP TABLE OUTLINES-Part 3 August 5, 1993 Page 3-1 1990 1980 Table Table Title Total number of data cells 3 - 4. N/A AGGREGATE NUMBER OF VEHICLES USED IN CARPOOLING(I) BY TIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) 2 Universe: Workers 16 years and over in a carpool Total, time leaving home to go to work Peak period (6:30 a.m. to 8:29 a.m.) 3-5. IV-3 WORKERS PER CARP00L(1) BY TIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) 2 Universe: Workers 16 years and over in a carpool Total, time leaving home to go to work Peak period (6:30 a.m. to 8:29 a.m.) 3 - 6. N/A MEDIAN TRAVEL TIME TO WORK IN MINUTES(I) BY MEANS OF TRANSPORTATION(19) BY TIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) 3 8 Universe: Workers 16 years and over who did not work at home Total, time leaving home to go to work: Workers who did not work at home Drove alone In 2-person carpool In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means • Peak period (6:30 a.m. to 8:29 a.m.): (Repeat MEANS OF TRANSPORTATION) 3 - 7. IV-2 MEAN TRAVEL TIME TO WORK IN MINUTES(I) BY MEANS OF TRANSP0RTATI0N(19) BY TIME LEAVING HOME TO GO TO WORK-TOTAL AND PEAK PERI0D(2) 3 8 Universe: Workers 16 years and over who did not work at home Total, time leaving home to go to work: Workers who did not work at home Drove alone In 2-person carpool In 3-person carpool In 4-person carpool In 5-person carpool In 6-person carpool 1990 CTPP TABLE OUTLINES-Part 3 August 5, 1993 Page 3-2 In 7-to-9-person carpool In 10-or-more-person carpool Bus or trolley bus Streetcar or trolley car Subway or elevated Railroad Ferryboat Taxicab Motorcycle Bicycle Walked Other means Peak period (6:30 a.m. to 8:29 a.m.): (Repeat MEANS OF TRANSPORTATION) TOTAL NUMBER OF DATA CELLS IN PART 3: 122 PART 3 RECORD SELECTION CRITERIA: All workers who live In the CTPP region regardless of where they work, and all workeic who work In the CTPP region regardless of whore they live. 1990 CTPP TABLE OUTLINES-Part 3 August 5, 1993 Page 3-3 APPENDIX B 1990 CENSUS QUESTIONNAIRE m APPENDIX B This booklet shows the content of the two main questionnaires being used in the 1990 U.S. Census. See the explanatory notes on page 2. OFFICIAL 1990 U.S. CENSUS FORM CENSUS '90 1-| S'3 M *3 » 50 SCO is 2*0 -a "I o*^ Sm census questionnaire. It's imports community, smd the Nation. > ^ The law requires answe: By law (Title 13, U.S census questions to tlil the same law<^arantee; confiden Census etum this your s privacy. equired to answer the if your knowledge. However, your census form remains years-or until the year 2062-only ees can see your form. No one lent body, no police department, no elfare agency-is permitted to see this formation under any circumstances. to get stsuled-and get help. Start by listing on the next page the names of sdl the people who live in your home. Plesise answer aU questions with a black lead pencil. You'll find detailed instructions for answering the census in the enclosed guide. If you need additional help, call the toll-free telephone number to the left, near your address. Please answer and return your form promptly. Complete your form and return it by April 1,1990 in the postage-paid envelope provided. Avoid the inconvenience of having a census taker visit your home. Again, thank you for answering the 1990 Census. Remember: Return the completed form by April 1,1990. Para personas de habla hispana - (For Spanish-speaking personal Si usted desea un cuestionario del censo en espaflol, Uame sin cargo alguno al siguiente numero: 1-800-XXXXXXX (o sea 1-800-XXX-XXXX) U.S. Department of Commerce BUREAU OF THE CENSUS FORM D-61 0MB No. 0607-0628 Approval Expires 07/31/91 Page 1 The 1990 census must count every person at his or her "usual residence." This means the place where the person lives and sleeps most of the time. la. List on the numbered lines below the name of each person living here on Sunday, April 1, including all persons staying here who have no other home. If EVERYONE at this address is staying here temporarily and usually lives somewhere else, follow the instructions given in question lb below. Include • Everyone who usually lives here such as family members, housemates and roommates, foster children, roomers, boarders, and live-in employees • Persons who are temporarily away on a business trip, on vacation, or in a general hospital • College students who stay here while attending college • Persons in the Armed Forces who live here • Newborn babies still in the hospital • Children in boarding schook below the college level • Persons who stay here most of the week while working even if they have a home somewhere else • Persons with no other home who are staying here on April 1 Print last name, first name, and middle initial for each person. Begin on line 1 with the household member (or one of the household members) in whose name this house or apartment is owned, being bought, or rented. If there is no such person, start on line 1 with any adult household member. LAST HRST INITIAL LAST FIRST INITIAL 1 7 2 8 3 9 4 10 5 11 6 12 T lb. If EVERYONE is staying here only temporarily and usually lives somewhere else, list the name of each person on the numbered lines above, fill this circle ► O and print their usual address below. DO NOT PRINT THE ADDRESS LISTED ON THE FRONT COVER. House number Street or road/Rural route and box number Apartment number City State ZIP Code County or foreign country Names of nearest Intersecting streets or roads NOW PLEASE OPEN THE FLAP TO PAGE 2 AND ANSWER ALL QUESTIONS FOR THE FIRST 7 PEOPLE USTED. USE A BLACK LEAD PENCIL ONLY. Do NOT include • Persons who usually live somewhere else * Persons who are away in an institution such as a prison, mental hospital, or a nursing home * * College students who live somewhere else while attending college * Persons in the Armed Forces who live somewhere else * Persons who stay somewhere else most of the week while working QUESTIONS ASKED OF ALL PERSONS PUEASEALSO ANSWER HOUSING QUESVONS ON PACE 3 FEHSON i PLEASE ALSO ANSWER HOUSING QUESTlOf'IS ON PAGE 3 FEHSON S PItAM U •fM cohitnfi for ««ch p«i»on Ibtrd In Qwciden la e«i pat« 1. Hoar b thU pane* related toPCRSON It fVONC^^far*! Q Othar raUcfotaf ptww I* cefomn I. f(l cPda arW pr^ aucf taUaonshlp. kkIi M iworhai b Ua>. yin4per«i< •en-b-Uw. START b bo colutin b« houMheU mamOrr (or on« «l lh« mvmWiJ In whoM n««n« b« hom« li OMMd. b«bf bew^a. ot r«ni«4. i b«*a li no fwch pman. lUrt b bto cofomn aHrti •ny Wub heiiMheU mrinba. V • RILAHVE o( Ptnon I: O Hw(b*nd/wd« O HifiMil be*n PI adep^rd •eo/diwfhicf O Slipion/ atpdawfKttt V NOT R£LAnD lo Parwn O 0reih«t/O««* Pithat/meilM* C'andcMd Otfm labflva I I L. J I • RELATIVE od/«>da o Roomer, boatdar. O ot (oOar chad O HouMmata. m O toommaia ' UnmarrWd patmat Oihat noniaUtfva O Roemar. boardv. O Unmanlad or boar chad O HewMmaia. « Reemai. boatdar. O ot leotr cMd Ob ft nonralatva O O HeuMmata. foommaia Unmarrlad partoar Othft nonraUPva O Natutal'born Q ot adopted O •oo/daofhiar O O Siapten/ Itapdaofhtar iNOT RELAIti) to Pan^ 1 O Reemar.boatdar, O or foatat chad O HouMtnaia. m O Btoihat/attar Fafhar/ttwcKar Ctattdchad Unmarrtad parmar Other notuabPva I a RELATIVE ol Perm O Hurhattd/wda O Naruial-botn or adopted ton/dawfhiar O Siapiott/ rtapdauyhter INOTRElATEbtoPc O Roemar.boardar. O erfobof cMd O HouMmata. m O roommate ' Broth at/Mo Fathar/modw CraodcMd Otfw fatabro ^ Unmarrwd parviar Othar notttabavo rt; S«m FJ ONE ePcb for each paraert. O MaU O Famala O Famala O Mala Roco FW ONE cPdo for bo taca that bo pTOO * ootrbdgT h*meel/>Wial to be. M tnAan (Amor.), ptbr bo oarrto pt O Whlia O BU^ at Nf^o O bdUn (Amat.l (Prtnt iha name pt be atwolad ot prvtopal bba.l^ O O Alavji AAan or Ptchc blander lAPt) O Wfota O BUdt ot Nty o O b^n (Amat J (Pitnl be ttama pt be atwolad ot gnncrpal bba.l^ I I I t O ^Utrto O Alawl Aden or Pacbc Umdo tATtl II Other Aalan or f adfle UUndar (API), print one yowp. far oampla: Hmotif. FiSan. Laedan. Thb. Torrgei. Palbttrd. Chbaaa FApIno HawaAan Korean VWmamcM O JapancM O Adan bdUn O Samoan O Cuamanlan O Othar API - • I Oihv r*c«« prM roea. O Othar Arl I ] roea dNbtracai ■J O OdnaM O Fthpino O HawaAar O Korean O VWmamoM O Japaraaa O Adan Indian O Samoan O Cuamatttan O Othar API ■ tamamoM O Othar API \ O 5b« race roeal ^ Whia BUcJlarNe^ Indtan lAmar.l |Prbe be na ptWSpal bba.l Eahbto Aleut Adan or Pacbe tdand Hr198_0^C8hsus experience," exterisive 'cohsuitation with many government and "..private users'of census data.'art'd a'series of experimental censuses and surveys IrT ••'.■which various alternatives were tested.'y../(;'/■^^^■'•iL^Fi■i^vSi>•^?^^vv:.:.^r;'i^:v^^^ i;;Two principal types of data-coilectibn forms — a .100-percent questionnaire (oriV;)^ .^^"short fprm")jnd a,sampia puestiormaire (or.'sNohg forrn") i^^are br'--'—'—' Vtha census.'Each household re'ceivesorie of th^two qu'ertiorinaires. .■'andpopuiatlb^ " ^-"ar'e repeat'etJ fdr]^? P8ges 4 and 5, and popuiat •^thfough'ps^'shownonpages 6 and7.'jhepdpulatioriquVstlons'la ijieach/mem^r^pfjlhe household bt^these pages wer'e nojfepfodiiced inthis^^^^ housetioids wiilreceiv'? f ha Irsmr* fnmn^PAr tha auarana^niidahntrt thi« fnrm'wuill taWjg 3n SStimStBd A3 N« (net Spenkh/Tltoiiiid Yto. Madcxn. Mtxkai Am Y«. PMtoRkwi ^ Ya^4jrH »a»».| y Yai. Cuban " Yo, aiha Spanlb/HlifMiile ESM ana yawp, for txamplc Arpenbtaad. Cabmblan, Oarrdhkan, Hkaayian. Sahadwaw. Spaniard, and aanj-^ Ytk. Cuban Ya. ethar Spar%kh/>fopark (PiM ana yawp, for aampfo: Arpm*«*M. Cetombwi. Oambkan. Nlorayian. Sahadaran, Sf*brd.jrH a an.| y I. Nbl ba nama pi ba A blandar (APB O JapancM O AAan Indan O Sampan O CwamanUn O ObaAPl-^ Ytto^bkb IF * I • 2 » • O 0 O 0 o 901010 2 O 2 O 3 O 3 O I 4 O 4 O ■ S O $ O 4 O 4 O 7 O 7 O • O I O 9 O 9 O Ya*. Cuban Yaa. eth« Sparbh/Tfopank (PrM ana youp.for oanylr Afyvrtoiaan. Cafomblan. Oan**ui. Ntonyian. Sakaderwv SparAtrd. and »_anj-j FOR CZMSUS USE QUESTIONSMKEDlDi^lOToOS^^ PERSON? NOW PLEASE ANSWER QUESTIONS Hla-H26 FOR YOUR HOUSEHOLD Pages If a RELATIVE of Penon 1: O ffusband/wife O O Natural-born O or adopted O son/daugltter O O Stepson/ stepdaugltter Brotfrer/slster Fatfier/motfier Grandchild Other relative -i I r I I L If NOT RELATED to Person 1; O Roomer, boarder, or foster child O IHousemate, k roommate H O Unmarried partner O Other noiwelatlve O Male O Female O O o o o o o o o o White Black or Negro Indian (Amer.) (Print the name of the enrolled or principal tribe. Eskimo Aleut Asian or Pacific Islander (API) Chinese f^ino I Hawaiian Korean Vietnamese O o o o o Japanese Asian Indian Samoan Guamanian Other API —j O Other race (Print nce)-^ a. Age 0 O 1 c b. Year of birth / 1 • O Now married O Widowed O Divorced O Separated O Never married O No (not Spanish/Htspanic) O Yes. Mexican. Mexican-Am., Chicano O Yes, Puerto Rlcan h O Yes. Cuban O Yes, other Spanish/Hispanic (Print one group.for example: Argentinean, Colombian, Dominican. Nicaraguan, Salvadoran, Spaniard, and so on.) , J o o Hla. Did you leave anyone out of your flat of pereona for Queatlon la on page 1 becauae you were not aure if the person ahould be liated — for example, someone temporarily away on a business trip or vacation, a newborn baby still in the hospital, or a person who stays here once in a while and has no other home? O Yes, please print the name(s) O No and reason(s).^ UthHisa ONE-FAMILY HOUSE - H5a. Is this house on ten or more acres? O Yes O No b. Is there a business (such as a store or barber shop) 'or a medical office on this property? O Yes O No b. Did you include anyone in your list of persons for Question la on page 1 even though you were not sure H that the person should be listed — for example, a visitor who to staying here temporarily or a person who usually lives somewhere else? O Yes, please print the name(s) and reason(s). ^ O No H2. Which best describes this building? Include aO apartments, flats, etc., even If vacant. O A mobile home or trailer O A one-family house detached from any other house O A one-family house attached to one or more houses O A building with 2 apartments O A building with 3 or 4 apartments O A building with 5 to 9 apartments O A building with 10 to 19 apartments O A building with 20 to 49 apartments O A building with 50 or more apartments O Other H3. How many nmms do you have In this house or apartment? Do NOT count bathrooms, porches, balconies, foyers, haOs, or half-rooms. O 1 room O 2 rooms O 3 nxrrrts O 4 rooms O 5 rooms O 6 rooms O 7 roonrs O 8 rooms O 9 or more H4. Is this house or apartment — O Owned by you or someone in this household with a mortgage or loan? O Owned by you or someone in this household free and clear (without a mortgage) ? O Rented (or cash rent? O Occupied without payment of cash rent? Answer only Uyou or someone in this household OWNS OR IS BUYING this house or apartment — H6. What to the value of this property; that to, how much do you think this house and lot or condominium imit would sell for if it were for sale? Less than $10,OCX) $10,000 to $14,999 $15,000 to $19,999 $20,000 to $24,999 $25,000 to $29,999 $30,000 to $34,999 $35,000 to $39,999 $40,000 to $44,999 $45,000 to $49,999 $50,000 to $54,999 $55,000 to $59,999 $60,000 to $64,999 $65,000 to $69,999 O $70,000 to $74,999 O $75,000 to $79,999 O $80,000 to $89,999 O $90,000 to $99,999 O $100,000 to $124,999 O $125,000 to $149,999 O $150,000 to $174,999 O $175,000 to $199,999 O $200,000 to $249,999 O $250,000 to $299,999 O $300,000 to $399,999 O $400,000 to $499,999 O $500,OCX) or more Answer only if you PAY RENTIor this house or apartment - H7a. What to the monthly rent? O O o o o o o o o o o o o Less than $80 $80 to $99 $100 to $124 $125 to $149 $150 to $174 $175 to $199 $200 to $224 $225 to $249 $250 to $274 $275 to $299 $300 to $324 $325 to $349 $350 to $374 $375 to $399 $400 to $424 $425 to $449 $450 to $474 $475 to $499 $500 to $524 $525 to $549 $550 to $599 $600 to $649 $650 to $699 $700 to $749 $750 to $999 $1,000 or rrrore b. Does the monthly rent include any meals? O Yes O No FOR CENSUS USE A. Total persons I I I 0 1 8 0 1 8 3 4- 5 6 ? 8 9 B. Type of unit Occupied O First form O Cont'n Vacant O Regular O Usual home elsewhere CI. Vacancy status O For rent O For seas/ O For sale only rec/occ O Rented or O For migrant sold, not workers O Other vacant C2, Is this unit boarded up? O Yes O No ^ Months vacant O Less than 1 O 6 up to 12 O 1 up to 2 O 12 up to 24 O 2 up to 6 O 24 or more E, Complete after O LR O TO O QA -"CJ O P/F O RE O l/T O O MV O ED O EN ^ O PO O P3 O P6 O PI O P4 O lA >"^2 O P2 O P5 O SM O G, DO I I I ID I I F, Cov. O lb O la O 7 O HI 1 1 i l-.i. t-.J J I L 0000000000 1 I I t I I I I I I ScScScccc c 3333333333 4- 4- 4- 4- 4- 4- 4- 4- 5555553553 GGGGSGGGGG ?????????? 99999999999 I ■ 9 8 ? G 3 3 2 • 0 9 8 ? G 3 • 3 2 I 0 ■ I I«4 QUESTIONS ASKED:0Rff;S<-Nltg^06aQgSEai9ffi^ PLEASE ALSO ANSWB H8. When did the penon Ueted in column 1 on page 2 move into this house or apartment? 1989 or 1990 1985 to 1988 1980 to 1984 1970 to 1979 1960 to 1969 19S9oreaftcr H9. How many bedrooms do you have; that is, how many bedrooms twould you list tf this house or apartment tvere on the maifcet for sale or rent? No bedroom 1 bedroom 2 bedrooms Sbedioomt 4bedrooms 5 or more bedrooms HIO. Do you have COMPLETE phimbing fsdUties in this house or apartment; that Is, I) hot and cold piped svater, 2) a flush toilet, and 3) a bathtub or shower? O Yes, have all three fadlttles O No Hll. Do you have COMPLETE kitchen facilities; that is, 1) a stalk with piped tvater, 2) a range or cookstovc, and 3) a refrigerator? O Yes O No H12. Do you have a telephone in this house or apiurtment? O Yes O No HI3. How many automobiles, vans, and trucks of one-ton capacity or less arc kept at home for use by members of your household? None 1 2 3 4 5 6 7 or more H14. Which I^UEL is used MOST far heatiiig this house or apartment? O Gas: from undeiTOund pipes serving the neighborhood O Gas; bottled, tank, or LP O Eiectrldty O Fuel oil, kerosene, etc. O Coal or coke O Wood O Solar energy O Other fuel B O No fuel used HIS, Do you get amter from — O A public system such as a dty water department, or private company? O An Individual drilled well? O An Individual dug well? O Some other source such as a sprirtg, creek, river, dstem, etc.? Hl^ Is diis buiiiling connected to a public sewer? O Yes, connected to public sewer O No, connected to septic tarrk or cesspool O No, use otiicr mearu H17. About arhen svas this building first built? O o o o o o o o o 1989 1985 1980 1970 1960 1950 1940 1939 Don't or 1990 to 1988 to 1984 to 1979 to 1969 to 1959 to 1949 orearler know H18, Is this house or apartment part of a condominium? O Yes O No If you tv* In an apartment buUdlng. skip to H20. H19a. Is this house on less than 1 acre? O SktptoH20 O No b. In 1989, ivhat were the actual sales of aU agricultural products from this property? None $1 to $999 $1,000 to $2,499 $2,500 to $4,999 $5,000 to $9,999 $10,000 or more H20. What are the yearly costs of utilities and fuels for this house or apartment? If you have kved here leas than 1 year, estimate the yearly cost. a. Electricity 1$ 1 I .001 Yearly cost — DoOais OR O Included In rent or In condominium fee O No citarge or electricity not used b.Gas LJ- ■00| Yearly cost — Dollars OR O Included tat rent or tat condominium fee O No cfiarge or gas not used c. Water 1 j .00! Yearly cost — Dollars OR O Included tat rerit or tat condominium fee O No charge d. Ott, coal, kcroeene, wood, etc. Yettrly cost — Dollars OR Included tat rent or tat condominium fee No charge or these fuels not tised Thesairiplaq^^ cqnteiris housing questions. H8 to H26.8h(5wm on.^page84.and 5.^; gc5 I ■ 9 8 ? G 3 4- 3 2 • 0 9 8 ? G • 3 8 I 0 ■ I ONS FOR YOUR HOUSEHOLD ' ITM* 1i I -^1 P*i INSTRUCTION: Answr quastlons H21 TO H26, If this Is a ona-famUy housa, a condominium, or a mobUa homa that somaona m this housahold OWNS OR IS BUYING; olhanrlsa. gotopagaS. H21. What were th« real otatctau* on THIS property last year? 1$ ^gqj Yearly amount — DoOan OR O None H22. What was the annual payment far fire, hazard, and Sood faiauraDce on THIS property? .00 Yearly amount — Dollars OR a O None H23a. Do you have a mortgage, deed of trust, contract to purchaec, or stmllar debt on THIS property? O Yes, mortgage, deed of trust,] orslmilardcbt icoloHZ3b O Yes, contract to purchase ) O No — Stop to H24a b. How much ie your regular monthly mortgage paytnent on THIS property? Irrdude payment only on flrat mortgage or contract to purchase. Monthly amount — Dollars OR O No regular payment required — Stop to H24a c. Does your regular monthly mortgage payment Include payments for real estate taxes on THIS property? O Yes, taxes Included In payment O No. taxes paid separately or taxes not required d. Does your regular monthly mortgage payment Include payments for ftre. hazard, or flood Insurance on THIS property? O Yes, InsuratKe btduded In payment O No, Insurance paid separately or no InsuratKe H24a. Do you have a socond or Junior mortgage or a home equity loan < THIS property? O Yes 0 No-SklploH2S b. How much Is your regular monthly payment on aH second or Junior mortgages and all home equity loans? 1». lOpJ Monthly amount — Dollars OR O No regular payment required Answer ONLY If this Is a CONDOMNIUM — H2S. What Is the monthly condominium fee? —i I .oqj ir Monthly amount — Dollars Answer ONLY If this Is a MOBILE HOME— H26. What was the total cost for personal property taxes, site rent, i rglsli siiiiii ices, and license fees on this mobile home aitd Us eUe last year? Exdude real estate taxes. I I Yearly amount — Dollars Pleaaa turn to page 6. I ■ 9 8 ? G 5 3 2 • 0 9 8 ? • 3 3 8 I 0 ■ I apt ie6 ,QUEsaoNsa^KEaasa:gji»^p^^^^ PLEASE ANSWER THESE QUE PERSON 1 KWdi Mbl 8. In what U^. State or foreign country wae thle peraon bom?-j (t^mc ol State orlorei^ country; or PucrtoHko. Ouam, ^.) 9. b thte person a CITIZEN of the United States? O Yes, bom In the United States — Slc4> Id il k O Yes, bom In Puerto Rico, Guam, the ® U.S, Virgin Islands, or Northem Martarras O Yes, bom abroad of American parent or parents O Yes, U.S, citizen by naturalization O No, not a citizen of the United States 10. When did thb person come to the United States to stay? O 1987 to 1990 O 1985orl986 O 1982 to 1984 O 1980 or 1981 O 1975 to 1979 O 1970 to 1974 O 1965 to 1969 O 1960tol964 O 1950 to 1959 O Before 1950 11. At any time since February 1.1990. has thb person attended regular school or college? Include only nursery school, kindergarten, elcrncntary school, and schoobig which leads to a high school diploma or a college degree. O No, has trot attended since February 1 O Yes, public school, pubBc college k O Yes, private school, private college ^ 12. How much school has thb person COMPLETED? FB ONE drde for the highest level COMPLETED or deyce RECEIVED. H currently enroled, mack the levd of previous gade attended or highest degce received. O No school completed O Nursery school b O Kindergarten ® O Isl, 2nd, 3rd, or 4th grade O 5th, 6th, 7th, or 8th grade O 9th grade O 10th grade O 11th grade O 12th grade, NO DIPLOMA O HIGH SCHOOL GRADUATE - high school DIPLOMA or the equivalent (For example: GED) O Some college but no de^ee O Associate degree In college - Occupational progam O Associate degree in college - Academic program O Bachelor's degree (For exampb: BA, AB, BS) O Master's degee (For example: MA, MS, MEng, MEd, MSW, MBA) O ProfesstonaTschool degree (For example: MD, ODS, DVM, LLB, JD) _ O Doctorate degee (For example: PhD, EdD) 14a. Did thb psfson live In thb house or apartment 5 years ago (on April 1,1985)? O Bomafter April 1,1965 — Go to questions for O Yes-SkfofoJSs r- O No b. Where tiid thb person Uvc 5 years ago (onApriil. 1985)? (1) Name ofU.S. State or foreign ctntntry- (H outside U.S., print answer above and skip to 15a,) (2) Name of county In the U.S. I .7. (3) NanM of city or tosvn In the U.S. •7. (4) Did thb person Uve Inside the city ortoemUmib? O Yes O No, lived outside t)ie city/town bniis 15a. Docs thb person speak a language other than English at home? O Yes O No —SUp to 16 b. What b thb language? 7- (For example: Chinese, Italian, Spanish, Vietnamese) c. How areO does thb person speak English? O Very wel O Not wel O Wel O Notatal 16. When eras thb person bora? O BombeforeApril 1,1975 — Gotoi7a O Bom April 1,1975 or later — Goto qucstforu for tfie next person 17a. Has thb person ever been on acUve-dirty mlUtary service In the Armed Forces of the United States or ever been far the United States tnilttaty Reserves or the National Guard? 8 service was hi Reserves or National Guard only, sea biaituclion guide. O Yes, now on active duty O Yes, on active duty In past, but not now | O Yes, service In Reserves or National Guard only — Skip to 18 O No-Skip to 18 18. Does thb peraon have a physkaL mentaL or other health conation that has lasted for 6 or more months and which — a. Limtts the kind or amount of work thb person can do at a Job? O Yes O No b. Prevenb thb person from working at a Job? I O Yes O No 19. Because of a health condition that has lasted for 6 or more months, does thb person have any tUfBcuhy — a. Going outside the home alone, for exampb. to shop or vbtt a doctor's ofllce? O Yes O No b. Taklngcareofhb or her own personal needs, such as bathing, dressing, or getting around Inshb the home? ■ O Yes O No IT this person is s fomair — 20. How many babies has she ever had. not counting stillbiiths? Do not count her stepchildren or childtcn she has adopted. None 123456789 10 11 12armorc o ooooooooo o o o 21a. Did thb person work at any time LAST WEEK? O Yes — FB this drde If this person worked full tirrM or part time. (Count part-time wtrrk such as delivering papers, or helping witfiout pay in a family busirieas or farm. Abo count active duty In the Armed Forces.) O No — FB thb drde if thb person did not work. _ or did only own housework, school work, or H volunteer work, — Skip lo 25 b. Httw many hours tUd thb person svork LAST WEEK (at aU Jabe)?Subttad any dmc off; add overtime or extra hours worked. • 1 1 I Hours 22. At what kscatfon tUd thb person svork LAST WEEK? U tfib person worked at more dian one location, print wfrere lie or she worked most last week, I a. Address (Nuralier and street) 7- 13. What h this person's ancestry or ethnic origin?-^ (See Instruction gulds for hothcr tniormstlon.) ^ J A—T (For example: German, haMan, Afro-Amer., CroaOan. Cape Verdean. Dominican, Ecuadoran. Haitian. C^un, Fre^ Canadian, Jamalcw!, Korean. Lebanese, Medcan, Nigcrtan. Irish, Pobh, Slovak. Taiwanese, Thai, Ukralrdan, etc.) be Was active-duty mUHaiy sendee during <— Fill a drde (or each period in which thh person lerved. O September 1980 or later O May 1975 to August 1980 O Vlctrtam era (August 1964—April 1975) O February 1955—July 1964 O Korean conlbct (June 1950—January 1955) O World Warn (September 1940-July 1947) O World War 1 (April 1917-Novefnbcr 1918) O Any other time c. In totaly how many years oi active-duty mitttaiy service has this person had? I Years I (If the exact address b not known, give a desortptlcn of the location such as the building nlRte or the nearest street or intersection.) b. Name ddty* town, or poet ottce .7- c. b the work location Inaide the Umlb of that dty or town? O Ye, d. County ■ O No, outside the dty/town Umlb e. State Sitan f. ZIP Co^ ^ a sample questionnaire also contains jaopuiation questions 8 to 33, shown here on pages 6 and 7. jhese questions appear on pairs of facing page! npia form (i.e.? 6 and T.'JB and 9, ett:.) for each parson in the household. Note that questions 17ato 33 do not apply to parsons undaf^S years of f : -l-lLlLL • ^^. ■ • - •' ^^^ ^ 1" v > x-«evW>y • , ^ v- FOR PERSON 1 ON PAGE 2 QUESTIONS ASKED OF A SAMPLE OF HOUSEHOLDS;' Page? 23a. How dkl this person usually get to work LAST WEEK? H tha pcnon usually ustd mot* than one method oi traniportatkMi during the trip, AO the drde of the one used lor moat of the distance. o Csr, truck, or van O Motorcycle 0 Bus or trolley bus O Bicycle o Streetcar ortroDcy car o Walked o Subway or elevated o Worked at ItoiM o Railroad Sklpto2S'^ o Ferryboat b o Other metJrad o Taxlcab " If "car, tuck, ornn' b milked In 23*. go to Z3b.0llmwhe, tklplo24i. b. How many people, including this person, laually rode to work In the car, truck, or van LAST WEEK? O Drove alone O 2 people O 3 people O 4pcople O Speople O 6people O 7to9pcople O 10 or more people 24a. What time did this person usuaiiy leave home to go to work LAST WEEK? a.m. p.m. b. How many minutes did It ueuaUy take this person to get from home to uroik LAST WEEK? I Minutes — Skip to 28 25. Was this person TEMPORARILY absent or on layoff from a Job or bualness LAST WEEK? O Yes. on layoff O Yes. on vacation, temporary Illness, labor dispute, etc. O No 26a. Has this person been looking for srofk during the lastdweeks? r O Yes O No — Skip to 27 b. Could this person have taken a Job LAST WEEK If one had been offered? O No, already has a Job m O No, temporarily 11 ® O No, otfter reasoru (In scliool, etc.) O Yes, could have taken a )ob 27. When did this person last work, even lor a few days? O 1990 1989 1988 1985 to 1987 O O o Go to 28 O 1980 to 1984 O 1979 or eariler O Never worked Skip to 32 7 28-30. CURRENT OR MOST RECENT JOB ACnVrrV. Describe dearly this person's chief Job activity or bustness last week. If this person had more than one Job, describe the one at which this person worked the most hours. U this person had no Job or business last week, give Information for Ills/her last Job or business since 1965. 28. Industry or Employer For whom did this person work? If now on active duty In the Armed Forces, fill this drde » O and print the branch of the Armed Forces. (Name of company, business, or other employer) b. What kind of buafaicaa or btdustry was this?—y Desalbe the activity at location where employed. ^ (For example: hospital, newspaper pubtshlng, mall order house, auto engine manufacturing, retail bakery) c. Is this mainly — Fill ONE ckde O Manufacturing O Other (agriculture, construction, service. Wholesale trade Retail trade government, etc.) 29. Occupatton a. What Idnd of work was tills pcTscm doing? I I (For example: registered nurse, personnel manager, supervisor of order department, gasoAne engine assembler, cake leer) b. What srcrc this person's iirast Impoetant actfvHIas or duties?-g I ^ 1 I I i I I I (For example: patient care, directing hiring pobdes, siipervlstng order clerks, assembling engines. Idng cakes) 32. INCOME IN 1989- Fff the "Yes* cSde below for each Income source received during 1969. Otherwise, IB the "No" drde. H "Yet," enter the total amount rcceivsd during 1989. For Income received Jointly, see kutrucSon guide. If exad amount Is not known, pleaae give best estimate. H net Income was a loss, write "Loss" above the dolar amount. a. Wages, salary, commissions, bonuses, or dps from ail Jobs — Report amount before deductions for taxes, bonds, di^ or ot^ Herns. O Yes »- I I I O No L*_ L°Pj Annual amount — Dollars b. Sdf.employment Income from own nonfarm biainess. Including proprietorship and partnership — Report NET Income after business expenses. Yes- No >$ .OOi I — —-I Annual amount — Dollars c. Farm self-employinent Income—Report NET hoomc after operating expenses, bidude earnings as a tenant faniw or dweatgrp^ O Yes r "i O No L* Annual amount — Dollars d. Interest, tfrvldends, net resitallncame or royalty Income, or Income frcHU estates and trusts — Report even small ariwunfr ocdll^JD m aopoin^ O Yes r 1 O No L* .;??1 I Annual amount — DoDart 30. Wm this pcnon-FIB ONE drdt O Einpbyac erf a PRIVATE FOR PR^TT company or builnai or erf an tndMdual. for wagca. Mhry, or I ccmunMons O Employee o( a PRIVATE NOT-FOR-PROFrT, tax-exempt, or charitable organization O Local GOVERNMENT employee (dty. county, etc.) O State GOVERNMENT employee O Feeicra) GOVERNMENT employee O SELF-EMPLOYED In own NOT INCORPORATED burinca. professional practice, or farm O SELF-EMPLOYED In own INCORPORATED ■ bustness, professional practice, or farm O Worklrtg WITHOUT PAY In famfly busbMss or farm 31a. Last year (1989), did this person work, even lor i few days, at a paid Job or in a btistncss or farm? O Yes O No — Sfcfo to 32 b. How many weeks did this person atork in 1989? Count paid vacation, paid skk leave, and mfttary service. I 1 ■ I Weeks I I c. During the weeks WORKED In 1989, how mnny hours did this person usually work each week? i 1 I I Hours I p e. Social Security or Rallrt^_Rettem^___ O Yes r 1 O No L? .;?9l Annual amount — Dollan f. Supplemental Secuilty Income (SSI). Aid to Famines with Dependent Children (AFDC), or other public aeelstancc or public wdfsrc payments. O Yes — I 1 o No L* .i??! Annual amount — DoDars g. Rctfaremcnt, survivor, or disabUity pensions — Do NOT fodudc Sodal Socurtt^. O Yes i" "l O No L*. -OOl Ainud amounT — DoDars h. Any other sources of tncoine received reguiarly such as Veterans* (VA) payments, unempioymcnt compensation, child support, or alimony — Do NOT Include lump-sum payments such as money from an tnherttance or the sale ^ a home. O Yes- O No 1$^ ^OOj Annual anfM>unt — DoQars 33. What was this pcrson*s total income in 1989? M Add entries In questions 32a through 32h; subtract any lotses. If total amount was a loss, wrtte **Loss'* above amount. O None OR t I [_$_ ^qql Annu^ amount — DoQars Ffease turn to the next poge and answer questions for Person 2 on page 2. If this Is the last person listed In question la on page 1, go to the back of the form. Page 8 Please make sure you have ... 1. FILLED this form completely. 2. ANSWERED Question la on page 1. 3. ANSWERED Questions 2 through 7 for each person you listed in Question la. 4. ANSWERED Questions Hla through H26 on pages 3, 4, and 5. 5. ANSWERED the questions on pages 6 through 19 for each person you listed in Question la. Also... 6. PRINT here the name of a household member who filled the form, the date the form was completed, and the telephone number at which a person in this household can be called. 1 Nam. 1 Date 1 ■ -) 1 1 1- 1 Telephone Area code y Number 1 J. 1 1 0 Day 1 1 1 1 1 number —1 1 1 1 O Night 1 . X 1 Then... 7. FOLD the form the way it was sent to you. 8. MAIL it back by April 1, or as close to that date as possible, in the envelope provided; no stamp is needed. When you insert your completed questionnaire, please make sure that the address of the U.S. Census Office can be ♦ seen through the window on the front of the envelope. NOTE — If you have listed more than 7 persons in Question la, please make sure that you have filled the form for the first 7 people. Then mail back this form. A census taker will call to obtain the information for the other people. Thank you very much. «U.& GOVERNMENT PRINTING OFFICE: 1900—2aMl» ' J >> Ni ©Recycled Recyclaole Publication No. FHWA-PD-95-019 HEP-22/5-95(2.5M)QE