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Urban and Regional Report No. 81-15

Public Disclosure Authorized

I

.

THE CITY STUDY:

I

THE AVAILABLE DATA

VOLUME III Yoon Joo Lee

Public Disclosure Authorized

Public Disclosure Authorized

July, 1981

This report was prepared under the auspices of the City Study Research Project (RPO 671-47) as City Study Project Paper No. 18. The views reported here are those of the author, and they should not be interptreted as reflecting the views of the World Bank or its affiliated organizations. This report is being circulated to stimulate discussion and comment.

Urban and Regional Economics Division Development Economics Department Development Policy Staff The World Bank Washington, D.C. 20433

TABLE OF CONTENTS Page I.

..... . ..

INTRODUCTION . . . . . . . . . . . . . . . . . . . .. DATA FILE DESCRIPTIONS . . . . . . . . . . . . . . .. .

II.

Subifles of DANE Househodl Survey (EH21-78) . . . . . . . . 3 (a) Household Files . . . . . . . . . . . . . . . . . . . . 3 . . . . . . 7 . . . Person Files . . . . . . . . . . . ... (b) . . . .1. . . . .**...*.*... Worker Files . . . . . . . (c)

2.

Subfile of Corno's Household Survey . . . . . . . . . . . . . 14

3.

Dat-a Set....................17 Transportation .. . . . . . . . . . . . . . . . . 1 3. TansortaionDataSet. 17 ...... . Bogota 1972 Transportation Skim TreeS. .i.. (a) 18 e........ ........ . (b) Bogota 1978 Road Networks.

4.

Establishment Surveys

,.,........... ..... .... ° (a) 1978) (Bogota, Survey Establishment Manufacturing (b)

6.

Social Security Records ..................... . (a) Employers in Cundinamarca ......

(b) (c) (d) (e) (f) (g) (h) Table 1:

..

19

. . . 23

29 ........ 29

Employers in Valle . . . . . . . . . . . . . . . . . . . 31

Barrio Characteristics (a)

19

.......

Cali-Yumbo Industry Sarvey .....

(b)

IV.

. . . 3

1.

5.

III.

.

1

.........

.............. 32

Barrio Area and Population of Bogota . . . . . .

. . . ...32

33 Barrio Characteristics of Cali . . . 33 Popular-ion and Dwelling Units of Bogota. 34 .................. Land Values of Bogota 35 ............. . Government Offices in Bogota.. 35 ......... . Location of Establishments in Valle.. 35 ............. ,., Corno's Barrio Dictionary ... 36 .......... . Cali and Bogota of Expaxlsion Factors . . . ... . . .... ............

CROSS REFERENCE MATRIX

FILE FORMATS FOR THE DATA SETS

APPENDIX 1:

TAPE DIRECTORY - TECHNICAL MEMORAN-DUM

APPENDIX 2:

DATA DOCUJMENTATION

APPENDIX 3:

COMUNA

STATISTICS AND REFQUENCY DISTRIBUTIONS

PROJECT PAPER ABSTRACT:

THE CITY STUDY: THE AVAITFABLE DATA By:

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VOL. III

Yoon Joo Lee July 1981

This third volume of data documentation contains a paper describing 10 major data files and three appendices containing the tape characteristics of the original files, the definition of each variable in each file, and comuna statistics and one-way frequency distributions of each record in each file. The following files are included: 1. Household file of 1978 DANE household survey: 3,062 households in Bogota and 980 in Cali. 2. Person file of 1978 of DANE HH survey: information on 10,863 persons in Bogota and 3,346 in Cali. 3. Worker file of 1978 DANE HH survey: Data of 5,081 workers in Bogota and 1,636 in Cali. 4. Revised file of survey of low income households by R. Corno: 707 persons in Bogota, 1975. 5. Bogota 1972 transportation skim trees: Phase Two zones and 38 DANE comunas.

trip records of 63

6. Bogota 1978 Road Networks: 964 records of public road networks and 1,320 private road network records. 7. Cali-Yumbo industry survey: 94 establishments located in the Cali-Yumbo Industrial Zone. 8. Revised file of manufacturing establishment survey: 126 establishments, Bogota, 1978. 9. 10.

Social Security Records: Valle, 1976.

employers in Cundinamarca, 1979 and

Barrio characteristics: population, dwelling units, land area and price, X-Y coordinates, and expansion factors.

I.

INTRODUCTION

As stated in its research proposal,

the main objective of the

City Study was to develop tools that can be used to estimate the spatial and economic impacts of policy interventions in LDC urban centers using Bogota, Colombia as a case study.

The main forcus of the study has been

or present spatial patterns and their recent changes for five areas: housing, transport, employment location, labor force and public sector.

The

major tasks to achieve the objective of the study has been successfully carried out.

Part of this success is due to the systematic collection and

documentation of high quality data. The purpose of this paper is to provide a comprehensive, uniform and systematic description of the data sets available in the City Study data base.

This volume includes all data files obtained since the prepara-

tion of Volume II as well as corrections or revisions made to the files 2/ included in the previous volumes of the documentation.

1/

"A Proposal to Undertake a City Study, Bogota, Colombia," Urban and Regional Economics Division, Developmient Economics Department, The World Bank, June 17, 1977.

2/ Nelson A. Valverde, "Bogota City Study: The Available Data," Volume I, Urban and Regional Economics Division, Development Economics Department, The World Bank, June 1, 1978. Yoon Joo Lee, "Bogota City Study: The Available Data," Volume II, Urban and Regional Economics Division, Development Economics Department, The World Bank, June 20, 1979.

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The main body of this Volume describes for each data file the type of file, its origin and the purpose for which the data were collected, and the variables in the file.

To facilitate the use of the information

included here, a gross-reference matrix that highlights the available variables, by affinity groups, in each data file is presented at the end of this paper.

Input formats of all data files are provided right after

the cross-reference matrix. ation:

Three appendices contain more detailed inform-

Appendix 1, Tape Directory - Technical Memorandum, contains tech-

nical information required for accessing and utilizing the data files, such as the name of the file, tape name and serial number, mnemonic devices used, logical -2ecord length, block size and the number of records in the file.

Appendix 2, Data Documentation contains lay-outs.of the card types

and the name, format, location, and value range of each variable included in each file.

Appendix 3, Comuna Statistics and Frequency Distributions

contains comuna statistics of Bogota and Cali, and one-way frequency distributions of five data files. This paper has been prepared under the guidance and supervision of Gregory Ingram, director of the City Study.

The author would like to

thank him and Sungyong Kang, Leslie Kramer, Jon Roseman, Nelson A. Valverde and Manfred W. Wagner who provided much of the information necessary for this paper. appreciated.

Morallina Fanwar's work of typing this paper is also greatly

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II.

DATA FILE DESCRIPTIONS

1. Subfiles of DANE Household Survey (EH21-78) Due to the comprehensiveness of the information covered by the survay, the original files of DANE Household Survey (Bogota and Cali, 1/

1978)

are very complex and cumbersome to use as they are.

In order

to facilitate easier and more efficient access to these data, three sets of subfiles were created: household files containing dwelling unit, household, and household head related data; person files covering information on household members, jobs, unemployment, and incomes; worket files including data on households, workers; and journeys to work. (a) Household Files:

The household files were created by Sungyong

Kang to be used mainly for the study of housing market.

There are two

files in this data set: D/KANG/EHBOGO/HOUSEHOLD containing 3,062 households in Bogota and D/KANG/EHCALI/HOUSEHOLD covering 980 households in Cali.

Both files include the same variables and each record of the files

represents one household.

There are 149 variables per each record:

1. Variables of residence location: region, UPM, segmento number, building ID number, dwelling unit ID number, household ID number, DANE comuna, DANA sector or barrio, estrato; number of persons in a dwelling unit, number of persons in a household;

1/ For the documentation of these files, see Yoon J. Lee, "Bogota City Study: The Available Data," Volume II, Urban and Regional Report No. 79-13, Urban & Regional Economics Division, The World Bank, August, 1979.

2. Variables applying to the building: Type of the buildinq, existence of an elevator, area of the lot, area

of the building, whether the roof is suitable

for another floor, floors in the building, age of the building,-number of dwelling units in the building; 3. Variables applying to the dwelling unit: type of the dwelling unit, roof material, floor material, exterior wall material, area of the dwelling unit, number of rooms in the dwelling unit, availability of a telephone line, water connection, sewer connection, electricity connection, garbage collection, and frequency of garbage collection; 4.

Variables applying to the household: area occupied by the household, number of rooms occupied by the household not including kitchen or bathroom, availability of a kitchen; type of water service, type of sanitary facility, location of sanitary, use of sanitary, monthly fee for water, sewer, and garbage collection, type of lighting, monthly fee for lighting, type of telephone service, monthly fee for telephone, number of inquilinos not including kitchen or bathroom; tenancy of the dwelling unit, whether the dwelling was built by the owner, whether any household member participated in constructinig the unit, construction stage of the dwelling unit, years since beginning of construction; financing source (BCH, ICI, CVP,

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Fondo Nacional de Ahorro, Corporacion de Ahorro, commercial bank, Fondo de Empleados, firm where employed, cooperative financing, personal loan, own resources, other sources), type of property document, whether the person still pays housing loan installments, value of monthly housing loan installment, rent willing to pay for similar house, price willing to pay for similar house, value of monthly rental, frequency of rent payment; whether the person owns other real estate or farm land, availability of refrigerator, television, radio, washing machine; type of store, years as household head, years in current dwelling unit; 5. Variables applying to the previous residence: previous residence of household head, DANE comuna and sector of previous residence, years at previous residence; 6. Variables applying to market trips: DANE comuina and sector of household's market, frequency of market trips, person who does marketing, transport mode to nearest bus route, number of various types of vehicles available (automobiles, camionetas, trucks or buses, jeeps, motorcycles, and bicycles); 7. Variables applying to vehicles: vehicle ID, make of vehicle, year of vehicle, years owned, principal use, tenancy of vehicle; expenditure last month on repairs and maintenance, expenditure last year for insurance and for taxes, kilometers travelled in last 12 months;

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8. Number of students, workers, and unemployed; 9. Variables applying to the household head: sex and age of the household head, years of residence in this city, educational level, last certified year of education at last level reached; work location, DANE sector of workplace, years working in firm, position in job, number of months worked out of last 12 months, number of times changed job in last 12 months, total duration of trips; 10.

Variables applying to income data: household head income, family labor income, family nonlabor income, household income imputed, domestic servant income;

11.

Expansion factor for dwelling units, expansion factor for households, marital status of the household head.

It should be noted that the results oi the original surveys show that about four and two percents of the respondents in Bogota and Cali, respectively, have "no information" on the income variable.

For these

persons, imputed income computed using the information on employment status, sex, experience, and educational level of the person was included 1/ in the household subfiles.

1/ For more details of the method used in computing imputed income, see Rakesh Mohan, "Workers of Bogota: Who They Are, What They Do, and Whare They Live", The World Bank, November 6, 1978.

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(b) Person Files The person files were created by Yoon Joo Lee to be used mainly for the study of labor market.

There are four files in this data set:

two files for Bogota, D/YOON/EHBOGOPERSON and D/YOON/EHBOGODIST, and another two files for Cali, D/YOON/EHCALIPERSON and D/YOON/EHCALIDIST. The two files D/YOON/EHBOGOPERSON and D/YOON/EHCALIPERSON include 127 variables and cover all the persons in the original files of Bogota and Cali: 14,918 and 4,727 persons, respectively.

Another two files

D/YOON/EHBOGODIST and D/YOON/EHCALIDIST include 17 more variables in addition to the 127 variables included in the former files and cover persons who are twelve years old or more only:

10,863 persons in

Bogota and 3,346 persons in Cali. The variables included in D/YOON/EHBOGOPERSON and D/YOON/EHCALIPERSON are: CARD 1:

Data on household location, household members

and job:

region, UPM, segmento number, building ID number, dwelling unit ID number, household ID number, person ID number, DANE comuna, DANE sector or barrio,

Estrato; number of persons in

a household including household maids, relationship to household head, sex, age, marital status;

DANE department

of birth, Zone of birth, years of residence in this city; literacy (can the person read and write?), educational level, years of education, whether the person is attending school; major activity during the previous week of the survey, labor force participation status, whether the person had a job despite not working last week, reason for absence from work

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last week, number of jobs, occupation, years in occupation, work location DANE comuna and sector of work place, number of rooms occupied by activity, whether the person is self-employed or not, number of employees at firm, field of activity, type of the firm, years working in the firm, position in job, whether the person has written contract with the firm;

age of

the firm, whether the firm was always at the same location, DANE comuna and sector of previous firm location, years the firm at the present location, existence of union at the firm; whether the person received training for the present job from the firm, place the person received most important training, financing for training;

group the firm produces for, area

the firm's products directed to, whether the firm is affiliated with a social security entity, if so, ICSS or other?; whether the person is personally affiliated with a social security entity, weekly hours normally worked, whether the person is willing and able to work more hours,

reason for the person

wanting to work more, number of months worked last year, number of times changed jobs last year;

segmento expansion

factor, index for income category; CARD 2;

Data on unemployed and person income: whether the person looked for work last week and before the last week, weeks since last looked for work, number of weeks looking for work, whether the person is seeking permanent or temporary work, full-time or part-time work, position sought, oczupation sought, field of activity of the job sought, whether

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the person sought work for the first time or had worked before for at least two consecutive weeks, weeks since last worked; occupation in the last job, field of activity at the last job, position in the last job;

sources of income of unemployed,

income sources of persons who had remunerated activity (interest/ dividend, rent, pension, cash gifts, other income), income sources of persons not participating in the labor market (allowances provided by job such as transport, food, housing, clothing, medicine, education, others), frequency of payment in job; person income variables: computed cash labor income excluding bonus, monthly wage excluding bonus, cash labor income including bonus, kind labor income, and total labor income from the first job, and the same income variables from the second and the third job;

total computed cash labor income excluding bonus,

total monthly wage; CARD3:

Data on person income, household income, and the dwelling unit: total cash labor income including bonus, total kind labor income, total labor income, non-labor income of the person; total household labor income, total h.ousehold non-labor income, total household income;

monthly fee for water, sewer, and garbage

collection, for lighting, and for telephone;

tenancy of the

dwelling unit, whether the person is still paying loan installment, value of monthly housing loan installment, rent and price willing to pay for a simi.lar house, value of monthly rental;

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years in current dwelling unit, previous residence of household head, DAliE comxna and sector of previotus residence, years at previous residence; expenditure last month for repairs and maintenance of vehicles, expenditure last year for insurance and for taxes on vehicles; The variables included in D/YOON/EHBOGODIST and D/YOON/EHCALIDIST are the 127 variables listed above in cards 1 to 3 and additional 17. variables included in Card 4: CARD 4:

area occupied by the household, number of rooms, binary (0, 1) variable showing the labor force participation status of the person,

number of maids and other relatives in the household;

total number of children, number of children 6 years old or less, number of children aged 12 to 18;

total number of grand children,

number of grandchildren 6 years old or less, number of grandchildren aged 12 to 18;

husband's employment status, whether

the husband is a blue color worker or not, husband's income, household income per capita excluding maids, number of workers in the household excluding maids, distance from CBD to the barrio where the household is located. A description of how some variables were created using the variables in the original files needs to be made here.

The variables of

labor force participation status in Card 1 has three categories: remunerated activity, unemployed,

not participating.

had some

If the respondent

answered "working" on the question of principal activity last

week or

t }W:.>.'tXJ'...F"'..P''.5.5...... I.' t:A

had some remunerated activity in addition to principal activity, or had a job despite not working last week, (had some remunerated activity).

the person is

defined as "employed"

If the person was looking for work

last week or before the last week, he (she) is defined as "unemployed". If

the person answered "invalid" on the question of principal activy

last week or did not look for work before last week, he (she) is defined as "non-particiapnt". The binary variable in Card 4 which also shows labor force participation status is defined in a slightly different way.

A.person

who is working or unemployed is defined as "in-the-labor-market" and any person who does not belorng to this category is defined as "not-in-thelabor-market".

A person is defined to be working if his (her) principal

activity was working or was studying, house wife, rentier, pensioned, incapacitated, other,

or invalidated and worked more than 15 hours a

week during the previous week of the survey.

A person is defined to

be unemployed if he (she) was looking for work during the previous week of the survey. For the respondents with "no information" on the income variable, the imputed income is computed using the same method described in the section of household files. (c) Worker Files The worker files were created by Jon Roseman to be used mainly for the study of the nLr,;nsportatio1i

sector.

There are two files in

this data set: D/ROSEMAN/EHBOGOWORKER containing 5,081 workers in

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Bogota and D/ROSEMAN/EHCALIWORKER covering 1,636 workers in Cali.

The

workers here are defined as those who are coded as having the participation status of "had some remunerated activity" in the person files.

Both

files include the same variables and each record of the files represents one worker. There are 83 variables per each record: 1. Data on household: region, UPM, segmento number, building ID number, dwelling unit ID number, household ID number, person ID number, DANE comuna, DANE sector or barrio, estrato, number of persons in household; transport mode from market, blocks to nearest bus route, number of vehicles available such as automobile, camionetas trucks/buses, jeeps, motorcycles, bicycles; number of students and workers in the household, number of unemployed;

household head income, family labor income,

family non-labor income, household income imputed, domestic servant income;

dwelling units expansion factor, households

expansion factor; 2.

Data on the worker: relationship to household head, sex, age, marital status, years of residence in this city, literacy (can read and write), educational level, years of education, attendancy of school;

major activity last week, participation status,

number of jobs, occupation, years in occupation, work

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location, DANE comuna and sector of workplace, whether the person is self-employed or not, field of activity, hours worked last week in firm, position in job;

whether

the firm is affiliated with a social security entity or not, if

so, ICSS or other?;

number of months worked last

year; index showing how income variable is computed, labor income of the worker, non-labor income of the worker; 3. Data on journey to work: person ID in the household, whether the person has driver's license or not, last day of work at the principal job, hour and minute left for work, origin of the trip, DANE comuna and sector or barrio of the origin, total duration of the trip, the first and the second mode of transportation to work, minutes walking to a vehicle, cost of transport,number of transfers, minutes waiting for vehicles, cost of parking, minutes inside vehicles, minutes walking after ride, whether the trip passes through CBD or not, whether the person went home to lunch, whether someone brought the worker lunch at workplace, minutes spent having lunch, whether the worker had another job besides the principal one last week.

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2. Subfile of Corno' s Household Survey The structure of the original file of Corno's Household Survey 1/

(Bogota, 1975)

is incouvenient to use for the analysis of migrants.

The original file contains three different card types: one card 1 and one card 2 per respondent and zero to several card 3's per person depending on the changes encountered. card 3:

The changes are recorded in two types of

when there is a change in residency or tenancy and a change

in occupation, education, or head of household, general information regarding changes in the previous years is recorded in type 1. When only occupation, education, or head of household changes, the information is recorded in type 2. Since the study is interested in analyzing how migrants adjust their life in the city, it is desired to include only type 1 of card 3 covering information on changes in residence.

In

addition, the original file includes the destination of each move and the origin of the next move but not of the present move. Thus, in order to study both origin and destination of a move, matching information between card 3's is necessary, a cumbersome task. In order to improve access to the information in the file, a new file containing card 1, card 2, and only type 1 of card 3ts is created and named D/ROSEMAN/BOB/SUBFILE.

This new file includes both

origin and destination of each move in the same card, X and Y coordinates of origin and destination zones, and distance of moves.

In addition, the

variable in card 2 which shows the number of other card 3's in the original file is replaced by a new variable showing the number of life time residence changes of the respondent.

For other variables, the new

1/ For the documentation of this file, see Volume II of this paper.

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file covers the same information as that of the original file.

The

file now contains information on 707 persons in 4,719 records: one card 1,

one card 2, and zero to several card 31s per person depending

on the number of changes in residence location. Following is the list of the variables included in each card: CARD 1:

General personal and household data: Card number, household number; present residence;

socio-economic stratum, barrio of

expansion factor; sex, age; municipality

of birth, state of birth, town of birth; marital status, education (primary, bachillerato, technical, high school, university, other, illiterate, no information, not applicable), number of years of education completed within a degree classification; water, sanitary, electric services; type of tenancy; approach used to find a house; activity of previous week, occupation, position, household monthly income; satisfaction with the house, with its physical condition, and with the neighborhood; who decided to migrate to Bogota, reason for migration, why Bogota and not somewhere else?; with whom did you migrate?; actiVity in the month prior to migration,

occupation and position the year before moving, activity of the establishment where you worked prior to migration, number of months unemployed the year before moving to Bogota; place you lived in before moving to Bogota and length of time you lived there; did the dwelling have water and electric supply?; before coming to Bogota, what did you make a trip for? (to

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look for a house?, for medical treatment?, to visit relatives

*1

or friends?, to buy household items?, to look for a job?

for

business?, for education?, to learn about the place? or for another reason?,); the year before moving, did you come looking for a job? CARD 2:

Employment immediately before and after moving to Bogota and future intentions: Card number, household number; did you have fixed employment beLore moving?, did you start to work immediately after moving?, how long were you unemployed?; what was your first occupation in Bogota?, how long did you have the job? why did you quit?, position in the job; major problems during the first year in Bogota; did you plan to move somewhere else?, if so, to what municipality,

department,

town or neighborhood?, when?, why?;

are you satisfied with moving to Bogota and why?; total number of moves, total number of moves before coming to Bogota, total number of moves within Bogota; year of arrival in Bogota, year of marriage; present zone; number of card 3's for the respondent; CARD 3:

Information on each'move: Card number, household number; socio-economic stratum, neighborhood (barrio); expansion factor; sex, age; municipality, state, and town of birth; marital status, education, years of education completed within a degree classification; present occupation, position, and household income; total number and consecutive number of moves; did you move in or out of Bogota?,

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year of the move, age of move; municipality, department, category of miunicipality, and neighborhood of destination; socio-economic stratum (in the year of move); type of tenancy; relationship to head of household, education, years approved, occupation, position; reason for the move; municipality category of birth, destination zone of moves within Bogota, Phase II barrio of the origin of move, DANE 1978 comuna of the origin of move, X and Y coordinates of the origin, Phase II barrio of the destination, DANE 1978 comuna of the destination, X and Y coordinates of the destination, distance of moves.

3. Transportation Data Set There are two sets of files in the transportation data set: Bogota 1972 Transportation Skim Trees prepared by Richard Westin and Bogota 1978 Road Networks prepared by Alvaro Pachon. (a) Bogota 1972 Transportation Skim Trees The transportation skim trees show the expected trip distance and trip time for travel by various transport modes.

The skim trees are

based on the road and transit networks prepared for the Bogota Phase II study.

Using these networks, a skim tree was first prepared for the

63 zone system used by Phase II. This skim tree was then averaged to produce a skim tree for the 38 DANE comunas.

To facilitate access to

the files, the skim trees are stored in separate data files for each zoning system.

The Phase II skim tree is stored

in the file named

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D/DICK/PHASE2SKIMTREE containing 1,953 records and the DANE comuna skim tree is stored in the file named D/DICK/COMUNA72SKIMTREE covering 703 1/

records. Both files include the same variables: First zone, second zone; trip distance by auto trips, total trip time of auto driver or passenger, total trip time of taxi or colectivo, total trip time of bus, total trip time of microbus; out-of-vehicle time of auto

driver or passenger, out-

of-vehicle time of taxi or colectivo; in-vehicle time of auto, taxi, or colectivo; out-of-vehicle time of bus or microbus; in-vehicle time of bus, and in-vehicle time of microbus. (b) Bogota 1978 Road Networks There are two files of road netowrks:

public road networks

and private road networks containir&g964 and 1,320 records respectively. The file of the public networks named D/ALVARO/ROUTES/SEVENTY EIGHT includes route number, card number within the route, the list of the four digit numbers of all nodes within the route, codes for transport mode and for headway. The file of the private road networks name D/ALVARO/SORTNET/ SEVENTYEIGHT includes the initial node num2er, lengt.h of the first link, speed code of the first link, type of first link, type of capacity of the first link, and final node of first link; the same information

for

the second, the third, and the fourth link beginning from the initial node are repeated.

1/ For more details on the skim trees, see Richard Westin's memo "Bogota 1972 Transportation Skim Trees," August 2, 1979 and "RevXisions to Bogota 1972 Transportation Skim Trees," September 6, 1979.

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Establishment Surveys There are two 'establishment surveys in this data set:

Cali-

Yumbo Industry Survey and Manufacturing Establishment Survey of Bogota. The former is the o'riginal data of the survey and the latter is an edited version of the original file, D/WILI/FIRMSURVEY128EDIT, documented in Volume II of this paper. (a) Cali-Yumnbo Industry Survey This survey covers detailed information on 94 establishments located in the Cali-Yumbo Industrial zone.

The establishments covered

in the survey were interviewed by INESCO & CO., for a study conducted by the Planning Department of Valle.

The survey covers a variety of

topics including location of the establishment, input materials, production, l-and holdings, transportation, storage facilities, waste disposal, use of water and energy resource, and expansion plans.

The

survey results are stored in the data file name D/KRAMER/YUNBOINDUSTRY. The data on each of the 94 establishments are recorded in 4 card types. The file therefore contains 376 records. The 115 variables in the file include: CARD 1:

Name and location-of the establishment: ID number, card number, company name, location (barrio number), industrial activity, previous location, address of previous sector, city where previously located; whether the establishment has factories in other regions of Colombia or not, if yes,

ANE municipal

code of the most important factory and

the second most important factory in another region, year

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20 -

the establishment Started to operate in La Zona (Cali-Yumbo Industrial Zone); factors which motivated the establishment to begin operations in La Zona such as guarantees for tax exemption, greater ability to obtain raw materials, greater access to a regional national, and export market, easier access to the skilled and unskilled labor, easier to obtain water for industrial use, better facilities for waste disposal, land value, access to rail, truck, sea, and air transportation; CARD 2:

Data on land holding, raw material and production: ID number, card number; amount of land owned in the sector, what was this land used for before the establishment purchased it?, besides the industry, whether the establishment owns additional land in La Zona, whether the establishment owns land outside La Zona that is used for industry and area of this land, whether the establishment owns land outside La Zona that is not used for agriculture, grazing, or industry and area of this land; what institutes documentation for construction of facilities submitted to? (Corporacion del Desarrollo de Valle de Cauca?, Yumbo Municipal Government ?, Ministrv of Health?, Departmental Planning Agency (Valle)?, Municipal Planning Agency (Cali)?, or another agency?); whether the establishment is willing to sell land not currently occupied by the industry; region raw materials come from and transport method of the raw materials, area of factory used for storage of raw materials, unit price

of raw materials obtained (per

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21 -

metric ton), value of raw materials obtained each month, how do you aet your raw materials?, if raw materials is obtained from outside La Zona, from where? Would you like to share storage space with other companies?, do you manufacture only raw materials for other industries?; type of production technique utilized by the establishment, number of production lines, SIC codes of the first, the second, and the third production line; CARD 3:

Data on transport modes for products and employees: ID number, card number; whether the establishment owns warehouses for direct distribution, if so, location of the warehouse, whether the establishment distributes only through one warehouse which is owned by someone else, if so, the location of the warehouse, whether the establishment distributes its products without restrictions, whether the establishment assigns maximum quotas to any distributor; modes of transport for the final product expressed as a percentage of the total value (rail, highway, air, sea); whether the establishment has a plant expansion program and the year to implement such a plan, factors that will allow the establishment to increase production, area for

the plant expansion as percent of the total area currently

occupied by the company; number of employees currently employed by the company, modes of transport being used by the employees of the establishment and percentage of employees using,each mode (railroad, buses owned by the company, buses ownecl by a transportation company, private vehicles, bicycles or similar

-22

mode, on foot); availability of a sewer line, type of sewer system, destination of effluents, type of sewage reception, whether the "final emission collector" is exclusively used for sewage disposal on the property of the establishment, whether the establishment can provide plans for-:he existing sewage l'nes, volume of the establishment's industrial wastes; CARD 4:

Data on Water, Land, and Energy: ID number, card type; source of water, type of water treatment, daily consumption of water for industrial use and for human consumption, in case of plant expansion, estimated increase in daily water use in 1977-1980 and 1980-1985, whether the establishment would like to obtain water from the Cali Aqueduct, if so, amount of that water, cost of water for production use and for human constmption, for what purpose do you want the water?, have there been significant reductions in youx.'water supply?, percentage of the largest reduction in water supply; purchase price of the land, estimated current value of the land, whether the price of land of the establishment is high or low compared to the land value in other industrial zones of Colombia; whether the establishment emits air effluents, average monthly consumption of energy, percentage reduction in production caused by the last energy rationing, if the establishment were not affected by energy rationing, the reason for it, whether the establishment's plan for increasing production is affected by the energy rationing, percentage of

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23 -

employees laid off due to energy rationing; whether the development plans of the establishment include a housing program for blue colar workers and for white colar workers, and kind.of services the establishment is 'interested in developing programs in conjunction with other firms. (b) Manufacturing Establishment Survey (Bogota, 1978) The description of the original file of this survey D/WILI/ FIRMSURVEY128EDIT, is given in the second volume of this paper.

The

original file is inconvenient to access due to the inconsistent format of some variables and contains many values missing or incorrect information. In order to increase access to the file and increase its quality, Leslie Kramer made the following modifications: (1) Seven VariabLes which had been stored in free-format in the original file were multiplied by 10 and stored in fixed-fonnat; (2) For fifteen -values missing, the data were replaced by estimates; (3) Five values in two-digits of decimal points were rounded to one-digit of decimal point to make the format of the variable consistent; (4) Values of a new variable, distance from CBD to the center of the comuna were computed and entered to the file; (5) 97 values of 7aany variables were replaced by new values;

-24-

(6) Seven new variables (location quotient for SIC 321 firms, location quotient for SIC 381 firms, density of manufacturing employment in 1975, density of employment, defisity

of population in 1973, market price of land per square meter during 1976-1978 at the comuna level, and average assessed value of land in 1980 at the comuna level) were added to the file. 1/ After these modifications, the new file namedD/KRAMER/KSLSURVEY279 contains 13 records for each of the 126 establishments, increasina the total number of records in the file from 1,512 to 1,638.

Variables in the file include: CARD 11:

DANE ID Code, DANE barrio code of present location; single or multi plant operation; DANE barrio code of headquarters location, city code of head of headquarters location if outside Bogota; number of plants; DANE barrio codes of plant locations;

1/

For more details on the modifications mada to create this file, see memos by Leslie Kramer to Kyu Sik Lee, "Modifications of 126 Bogota Firm Survey Data File", December 7, 1979, "Editing of Bogota Industrial Survey File," December 18, 1979, "Creation of Subfile of Bogota Industrial Survey Data," January 2, 1980, "Update on Firm Survey Subfile," July 14, 1980, "Update on Kyu Sik Lee's Bogota Firm Survey," August 29, 1980.

-

CARD 12:

25

-

DA1NE barrio codes of plant locations, city codes of plant locations; multiplant management strategy; the yeat the company was founded; initial year of operation in the present location; type of establishmenrt,

products manufactured,

plant space rented, plant space owned,

type of productiot- process;

land space rented,

land space

owned; CARD 13:

Value of total land area, annual rental of plant and land? age of main buildings; proportion of land occupied by buildings, land reserved for expansion; number of floors; product and primary materials storage (indoor or outdoor); warehouse location and its distance; number of full-time and part-time administrative, skilled, and anskilled employees,

total number of full-time and

part-time employees, maximum number of employees; CARD 14:

Monthly salary of skilled and unskilled workers; number of shifts; percent of unionized employees; percent of managers and non-, managers living in the immediate neighborhood,

in the same

barrio, in adjacent barrio, in the north, in the south, outside Bogota; percent of employees walking, traveling by bus, by company vehicles and by private car to work; percent of output shipped by truck, by rail, and by truck-rail combination; CARD 15:

Percent of output shipped by truck water combination, by air, and by other means; percent of input shipped by trucks by rail, by truck-rail combination, by truck-water combination, by air, and by other means; use of railroad siding, distance to railroad station; roads used by trucks; percent of products sold in

-

26

-

Bogota, in Cundinamarca, in other parts of Colombia, and in other countries; distance of product delivery in Bogota; percent of

product used as input in other manufacturing industries; industries using product as input; distance to industries using prod-

uct as input; percent of inputs bought in Bogota, Cundinamarca, and in other parts of Colombia; CARD 16:

Percent of inputs imported; distance of input delivery in Bogota; percent of inputs that are outputs of other manufacturing industries; industries supplying input products; distance to industries supplying input products; product and input delivery cost; public transport problems of employees and the type of problems; electricity and water use, telephone and telagraph use, frequency of electricity and telephone interruptions; quality of fire protection service, sewage and garbage collection access and its interruptions; quality of road maintenance; taxes in other

parts of Bogota, Bogota barrios and suburbs with less taxes, taxes affecting business; government incentive systems; average growth rate of sales,

changes in products,

annual sales; annual

purchase of primary and other input materials; annual wage bill; CARD 17:

Replacement value of plant and equipment; future e-xpansion of industry, future sales of establishment; plant capacity; rent payment; availability of skilled, unskilled workers,

cost of

skilled, unskilled workers; cost and quality of public services; land cost for expansion; proximity to suppliers, clients, and to competitors,

to

access to highway and railroad,

-

27

-

proximity to business services; property taxes, municipal services,

security, amenities of zone, community attitudes; impor-

tance and frequency of personal contacts; CARD 21:

City of previous location, barrio of previous location in Bogota, distance moved,

condition of plant; change in output,

in plant

space, in land area, and in rent after move; change in skilled and unskilled workers and their wages after move; chanige in managers' and workers' commuting distance, in prbduct and input

delivery distance after move; change in profits and local taxes after move; CARD 22:

Cost of public services, quality of electricity services, quality

of water, fire and police pratection,

sewer-age service, garbage

collection service, and road maintenance after move; factors important for relocation site, crime and public action as relocation factor, percent of workers stayed after move, larger plant size as relocation factor; change in production.technology, consolidation with other plants; zoning as relocation factor;. CARD 31:

Did you consider moving and opening a branch?, did you establish branch since 1970?; did you expand on present site, or absorbed operations of another plant since 1970?; if so, barrio of the absorbed plant; did you acquire other plants?; if so, barrio of the acquired plants; plan to expand in the next five years, plan to expand on site, Bogota, other cities, barrio for expansion in Bogota, city for expansion; additional employees and floor space after expansion; plan to relocate in the next five years,

-

28 -

relocate within Bogota, other cities, barrio in Bogota,

city

for relocation; increase or decrease in employment and additional floor space after move; factors for relocation decision, factors for site selection decision; CARD 32:

Factors for site selection decision;

CARD 41:

Did you consider other sites?, barrios of other sites considered; reasons for not selecting and barrio of other site considered; government incentive schemes for selecting present location; distance to CBD in kilometers.

CARD 51:

ID number, card number; location quotient for SIC 321 firms, location quotient for SIC 381 firms; density of total employment, density of population in 1973; market price of land per square meter during 1976-1978 at the comuna level, average assessed value of land in 1980 at the comuna level.

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29 -

5. Social Security Records The data files of the social security records described in this volume are subfiles or revised files of the original files which are discussed in Volume II of this paper.

There are two sets of files in

thisj data set: employers in social security records of Cundinamarca and Valle. (a) Employers in Cundinamarca The original data file of 1979 for employers in Cundinamarca, BBSSZX9ISSFIRMA791, does not include three variables (goecodes for comuna and barrio, and number of employees of the establishments) which are important for the study of the spatial distribution of establishments. These three variables were added tothe original

file.

Also, the geocodes

of comuna and barrio were checked for inconsistencies.

All miscoded or

repeated records were either corrected and/or deleted.

This edited file

was namedD/NELSON/FIRM79EMP, containing 53,782 records.

From this file,

two subfiles were created:

D/NELSON/FRIM79ACT containing 32,014 active

establishments only 'and D/NELSON/FIRM79DEF 21,768 containing defunct establishments only.

The distinction between the active and defunct

establishments w.6 made based on whether the establishment has employees were or not. If there / no employees in the establishment, it was defined as "defunct" and "active" otherwise. The three files include the same variables in the same format: seccional, municipio; economic activity; consecutive number; postal zone, type of street, number of street, if A,B,C --- , part of address, if A,B,C --- ,

if north or south, first

second part of address, office number,

P.O. Box number; name (Razon Social); risk type, degree of risk; type of

-

30 -

charge; subactivity; clinic (consultorio); date of registration; bank zone; retirees, Ciclos Vencidos; number of payments in the agreement, number of next payment, number of months in debt, class of debt; record identification, record type; comuna code, barrio code, number of employees. The master file of ICSS employers, D/NELSON/ICSSFIRMS7779/MASTERFILE,

is a merger of the three annual files of social security records:

D/WILI/EMPLOYERS77 for 1977, for 1979.

D/WILI/BOGOTAICSS for 1978, D/NELSON/FIRM79ACT

This master 'file containing 93,427 records includes two new

variables in addition to the variables of the original files: number of records for the same firm

and year of record.

The "number of records

for the same firm" variable indicates for how many years information is available.

From the master file, four subfiles each of which including

only one economic sector were created. commerce, services, and others.

The four sectors are manufacturing,

The names of the subfiles are D/NELSON/

ICSS7779/MANUFACTURING containing 26,235 records, D/NELSON/ICSS7779/COMMERCE containing 28,874 records, D/NELSON/ICSS7779/SERVICES containing 22,582 records, and D/NELSON/ICSS7779/OTHERS containing 10,790 records. The master file and four subfiles include the same variables in the same format: number of records for the same firm; seccional, municipio; economic activity, consecutive number; postal zone, type of street, number of street, if A,B,C --- , if A,B,C --- ,

if north or south, first part of address,

second part of address, office number, name (Razon Social);

subactivity; date of registration; record type; comuna code, barrio code, number of employees; year of information.

-

31 -

(b) Employers in Valle The two data files of the social security records of Valle for 1976,D/WILI/ICSSPARTSVALLE and D/WILI/CALIICSS documented in Volume II of this paper do not include 2,976 employers in municipio 32 which is located in Cali's industrial district.

After adding these employers in

both files, D/WILI/ICSSPARTSVALLE is renamed D/WILI/VALLEISS containing 12,237 employers and D/WILI/CALIICSS has the same name containing 9,987 records.

The variables of the new files are exactly the same as the

original files. The file of Cali, D/WILI/CALIICSS, was edited in order to improve its quality.

First, the geocodes (comuna and barrio codes) were checked

for inconsistencies. ted or deleted.

All miscoded or repeated records were either correc-

The corrections and deietions were small in number: only

4 out of 9,987 records.

Checks for consistency were executed mainly by

cross referring the geocodes against the valid comuna and barrio codes. Comuna numbers were also cross-referred with postal zones.

Second, three

variables (record type and geocodes for comuna and barrio) were added to the file.

The final version of the edited file, sorted in ascending order

by the 11-digit I.D. code is named D/NELSON/ICSSCALI76COM, containing 9,987 records. The variables in the file include: seccional, municipio; economic activity; consecutive number; postal zone, type of street, number of calle, carrera, etc., if A,B,C --- ,

if north or sourth, first number of address,

office or interior number; razon social, subactivity; date of membership, number of affiliated workers last month; type of card, record type; comuna code, barrio code.

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32 -

6. Barrio Characteristics The data files of barrio characteristics contain important information on barrios such as geocodes, population, land area and land price.

There are-eight files in this data set: Barrio area and popula-

tion of Bogota, barrio characteristics of Cali, population and dwelling units of Bogota, land values of Bogota, location of government offices of Bogota, location of establishments in Valle, Gorno's barrio dictionary and expansion factors of Bogota and Cali. (a) Barrio Area and Population of Bogota This file was originally created from a card deck prepared by Jairo Arias of Bogota in 1979.

The original version had 420 records. Each

record contained Phase II barrio number, barrio name, socio-economic stratum, barrio area, area without development, the number of buildings in 1964 and 1972, dwelling units and population for 1964 and 1972, and the number of blocks and households in 1972. In May 1979, corresponding Phase II zone number and DANE barrio number were added to each record based on then existing barrio dictionary. After this initial matching, the socio-economic stratum and the area of each record were checked against the 1973 DANE map of Bogota to evaluate the accuracy of these match up of Phae II and DANE barrio numbers. evaluation was conducted by G. Ingram and Sungyong Kang.

This

In addition, 130

records containing DANE barrio number, Phase II barrio number, and Phase II zone number were added to this file in order to make it comparable to the list of barrios in the dictionary.

The final version of this file

was sorted in the ascending order of the DANE barrio numbers and named D/KANG/POPULATION13/SORTCENSUS, containing 550 records.

-

33 -

The variables in the file include: Phase II barrio number, DANE (census) barrio number, Phase II zone number, barrio name; socioeconomic stratum, area of the barrio; number of buildings in 1964, number of dwelling units in 1964, population in 1964; number of blocks in 1972, number of buildings in 1972, number of dwelling units in 1972, number of households in 1972, population in 1972; area without development. (b) Barrio Characteristics of Cali The file of barrio characteristics of Cali named D/KANG/CALI/ BARCHAR/DANE containes 211 records, where each record represents one DANE barrio of Cali and its characteristics.

The file is in the ascend-

ing order of DANE barrio numbers,, The variables in the file include: centroid number, zone number, barrio number; socio-economic stratum (1978), number of blocks (1978), area (1978), number of dwelling units (1978); socio-economic stratum (1973), number of blocks (1973), area (1973), number of dwelling units (1973);

X coordinate, Y coordinate; area, population in 1978.

(c) Population and Dwelling Units of Bogota The file of population and dwelling units of Bogota named D/KRANER/BOGOPOPDATA contains 510 records, where each record represents one DANE barrio of Bogota and its characteristics.

The information

included in this file is the same as that of D/VILLAM/POPDATA. The variables included in the file are: DANE barrio code, name of barrio, area of barrio; X coordinate; Y coordinate, distance of barrio from CBD; number of households in the four percent sample, total number of households in the sample, total number of dwelling uini's in the sample; population in 1964, population in 1972, population in 1973, population in 1978; number of dwelling units in 1973 (measure #1), number of dwelling units in 1973 (measure #2), number of dwelling units in 1978.

-

34 -

(d) Land Values of Bogota There are three files of land values of Bogota: D/KRAMER/ D/KRAMER/COMPLANDP. ASSESSEDLANDVAL80, D/KRAMER/LANDPRICEDATA,/ The file D/KRAMER/ASSESSEDLANDVAL80 contains 533 records,

where each record provides average

assessed land values per square meter for each of the 485 barrios in Bogota as of February, 1980 (forty-eight barrios are missing land value information).

These assessed land values were resulted from the reasses-

ment that took place shortly before the March 9, 1980 election.

Variables

in the file include: comuna number, barrio number; average assessed land value at the barrio level per square meter. The file D/KRAMER/COMPLANDPcontains 38 records, where each record provides both market price and assessed value of land for 38 comunas in Bogota.

The market value information is the 1976-78 land values from the 1/ Anexo 4 of the paper by Rodrigo Villamizar and the assessed land value information is fromn the file D/KRAMER/ASSESSEDLANDVAL80. in the file include:

The variables

comuna number, market price of land and average

assessed value of land for 1980. The file D/KRAMER/LANDPRICEDATA contains 510 records where each record provides several measures of distance of barrios from the Central Business District and land value at the barrio and comuna levels.

Measures

of both market value and assessed value of land included in D/KRAMER/COMPLANDP are also contained in this file.

The variables in the file include: barrio

or comuna number, name of barrio; are of barrio; X coordinate of barrio,

1/ Rodrigo Villamizar, "Land Prices in Bogota betwee;.i 1955 and 1978: A Descriptive Analysis," July 11, 1979.

-

35 -

Y coordinate of barrio, distance from CBD to outer of barrio; average assessed value of land in barrio; distance from CBD to cotnuna; avetage assessed value of land at comuna level (simple average of barrios), average assessed land value at comuna level (average weighted by the area of each barrio); airline distance from CBD to the center of gravity of each comuna; market price of land for 1976-78. (e) Government Offices in Bogota The file D/KRAMER/GOVTOFF contains 82 records, where each record provides location information of the offices of the national and the district government agencies in Bogota.

Variables in the file include:

first part of ID code which distingui-.hes federal from city offices, second part of ID code; DNAE barrio code; total number of employees of the agency working in the offices located in Bogota, total number of employees of the agency working in the offices located outside Bogota; name of government agency. (f) Location of Establishments in Valle The file D/KRAMER/VALLE contains 539 records, where each record provides barrio location information of establishments located in Valle during 1970-75.

Variables in the file include: ID of the establishments;

number of years at the first location, barrio number of the first location; number of years at the second location, barrio number of the second location; number of years at the third location, barrio number of the third location. (g) Corno's Barrio Dictionary The file D/SHABAN/COPNO/XY'COORDINATES contains 549 records, where each record projects the Corno barrio number to a DANE barrio number.

Variables in the file include Corno barrio number,

DMNE barrio

number, X coordinate, Y coordinate, zone nuimber and barrio name.

-

36 -

(h) Expansion Factors of Bogota and Cali There are four files of expansion factors: D/ALVNRO/EXPFACBOGOTA, D/YOON/BOGOTAEXPANSION, D/ALVARO/EXPFACCALI, D/YOON/CALIEXPANSION. The first two-files, as the names of the files suggest, contain expansion factors for Bogota and another two files include expansion factors for Cali. The files

D/ALVARO/EXPFACBOGOTA and D/ALVARO/EXPFACCALI

contains 230 and 78 records, respectively, and include the same information of sample dwelling units and households.

The records in

both files are stored in the ascending order of segment number.

The

variables in the file include segment number; number of dwelling units of sample frame, number of recounted dwelling units, number of selected dwelling units, number of effective dwelling units, no. of sampled dwelling units; number of selected households, number of sampled households; weight factor of subsample. -

The files D/YOON/BOGOTAEXPANSION and D/YOON/CALIEXPANSION were

created based on the information of two files discussed above, D/ALVARO/ EXPFACBOGOTA and D/ALVARO/EXPFACCALI, respectively.

The Bogota and Cali

files contain 231 and 78 records, respectively and the records in both files are stored the ascending order of segment number. the files include segment number,

Variables in

expansion factor of dwelling units,

expansion factor of households.

1/

For details on the sample plan, see two rcports by Garrie J. Losee, "Sample Plan for the Bogota Household Survey of the City STudy," June 20, 1978 and "City Study Trip Report," August 13-19, 1978.

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NEX 4 Page 2

Code, 38

Municipalities

39

La Vega San Jose de Pare

40

Chaparral

41

Santa Mfarta Cucuta

43

Tunja

47

Pasto

ANNEX 5

LIST OF CALI

9

40

BARRIO NAMES AiND CODES:

4

CPr;,;T,V.Er,r0

ALJ:.'I'ISTPATIVC

CFCI0:1L\LE ESTADISTICA. i DIJ10s;C" 00 ZCTIiFOIjCICA I

0. A. ;.

L±sta d! Wz.r-iOs Ic princip:,l::s ciu1,NC 1s dcl F?Ps 5eg5n SctCciZ CartvuriF' Ca c2ns-1l 1 .973, paO ar¢n Alf-5bficO y NumirriccG. * 5AJ

L I

Ordcn Alf3bEt-ica

Ac~~s

204

Alam]Ecda

140 1 430 2402 2201 41011

Alfonso L6p3z PL:9=C:jO 6JACnds5 8lArO1"jls A - a s i Gir=zc:ct 8

!aso

;

1

AcvrIrc

M.iZon

SU---Z

4201

Fl21lcazar

*

1407

8oylc-1cz.z=

Nr'c

1302

Ircllcazcr

Sur

|cl£n tj

-l

1402 710:3 2201

cvistc7

Elcnjcn in H=Rrrc

eCrdc:a Sccidcnt a.i ric Bcliv-criaCn oCydcJr CriatziUa

-

..

4105

A2n c

3310 3205 5304 1402

Caic:adc

?106i

CclubavniCcic

Vnczucli

Coltc cz2r12 Suo-rlc Cama;nt-cric C.1CO

- ,LinCS : F1'tnCJ4

Cement.2ric Co?ntra!

tCiud=-s'

Ali-dcs

2G3(mnizc--, 7 ,01 3107 3102

J^-,-i'n C'iud-r;s

-,.pDp I-; car .--I T;.'F-Y DOMITNGO DE LIA S 'CASAS S PI02DV.'CI 'PUENTE ELEVDO * "CI PASO DEL COM:ERC10 1I;CITDAT2,% L^. FLORA BARARIO PRIMtITIV'O CR2ESPO SIMICON BOLIVAJR S.-AV D?,,A GA,r-I2rDO' * TLA FL3.?2ST

310 3105 3106

3107 3,138 3109 3110 3201

3202 3203 32043205 3206 3207 3208 3209 3210 3211 .3212 3301 3302 2303 3301 3305 3306 3.01

,

3103 31 0

3 05 1101

4102 1203 11!;

-

r.;,'? ¢g--'; MUNICIPAL

1105

t106

EL. ESCUE

4107 0102 4109 4 10 *;t 1.12 1113 '201

DE NUES TR

SEN0'0 DE FATIMA

EL TYM:.CAL ;' s' COLL;=CS t;SB,T2I0 S3TITUO0 CI.-1.IOI7TA"1 1 , >7iRiO MCNICAt MON,.>s POPUL ^ % 4,, ;

2'.S-

AE-2

W0 FIDEL SUAIL EZ '4.

.202

23sIr;Lc:N /1

I

UNIO'T DE VIVIENDA _L/ NRIO-0 DI .A1ldI SIN 1101IBxBE EL &JO;lD.:A21 NB0M3BRE SI NUAPO-ES NO EXITE S IN NOM4BE SIN NiO.MBRE SIN NOt-IBRE SINT tN0M5FRE SIN' C4CTBRE S IN IOMBRZE bUIZY'CION CAtL SIN N10B3RE SIN hI0;53BRE NO ExISTZ SIN NO1B'BE SIN N0M.3BZE MIXEI'NDEZ 2 STIN NTOMBRE S IN 11U0M3.E

5503 550 1 5505 6101 6102 6103 6101 6105 610 6 6107 6103 6109 il1O 6111 6112 '-6113 611 6115 6116

6117 6118 6119 6119

6301

LA C'.STELLANA LI SELV.A Na. 2 S III 110MBRE S IN NOLMERE 1'OMB?'2 N0T S IN NOZ1BRE INS

G'303 630;1SIN

S INZ YOMBRE 1UC.1iMBRIZ

6305 6306

CIUD.AD U1-TI'%.E,1-ZSI7T --. T4-j....... CIUDAD JARDIN

7101 7102 7103 710 4 7105 7106 7201 7202

CAIRVIERTLEJOLLE=AS C:,i.MA:PUO BELEN SIN xna'3: SILN t;OMBRE CMIICEDO SINTNOMRE SAZ7TA ISA.BEL

7200

II

7203 7301 7202 7303 73 04 7305 730CP26G'AT 7307 7-401 7 02 7 03

SAN FE '1,>2N O VIEJO FE-N'.ND0 ITUEEV0 SA1N14 TRES D2 JULIO S I'T.. - IN0:1OB3E ~TS LIC O tUlc%i SINT NCOM.BiRE

6202 6203 6201 6205

6206

0

~

]/

/

/

rFLOES

SIN NCM3; SIN%NCOlBi3E n NUEV,\. ID .>X r,

..

URBANIZACION VEIN-EZWVEL;

rJID0 IDO-

T.-

07(DEt4 NMEY-MICO G205

S Ii

'301 13 02 ,3J)3

Sl7IN,;^;NIEE ALF0;;&3O L',PEZ PUWG2O.

130'1

SiN

1305

SIN NZiM.E

2306 ;307

SIll NCIM.RE ZA.A5L LTiIO

1401

EL 1 TiEDOL

SIM r1c1!UK12

5105 5iCCXi

' EL ('J:,AL .. 4 RE .4't17-E N..-AE RE S. ,-E0 "NfLL ETY OCRA2DO S , D AC1;',

!5301

p EYU-LJL

5302 5303

US --1:-.2E8IDENCA' S IN N0-1 -- EE

~~5309

E

-|:T3RE T,T SM" MAR'C.;-50B.

1

55'02

*309 5 ; 1 1Sl. 5 50(2

.........

....

....

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,

JLIO.

5;3 i2 -5 13

10 5 !05 5 'IO

.

o- '^.C..,,,-.r

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0-F AG'UA

EL P?

PU2iSD EL B

S

;

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'

53-1

!

.

..

5310 5401

5-,

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*.*

.

.

.

.3LOT.

$5300 3

!

.

EPIS OGA

5306

C.fA

..

.

5306

5305

.

.

.

;:

5205

1

,.

5101

5202 5203 5204

.,,

;

L0S'RE sIfl ZT AL DE.P'AX2-4'ZN. PlA; AERI'EN0 . .. OD:INX D.. S.*- ....

07i 5201

.

:',E,,.

.1105 5101 5102 5103

51

4

f t."i DE \GOS T O

SSIE'T

S Ii;,:.E

.D

.

ALl -'-

c

B.;RB E 3.BNA EO iRCItE0-, LFDN'S EL . sSI ,1iz:>'t; ; .rg .; . EL PAiB'.SO CIUDAD5 DE CG L I S:6:f^

';I

5

;O;rST

:; E: l .;O(1: B' E;-

Cr.C

.....

.

C:

:

S-!-.N

.

-.

DE IS z,, sEL,

;;

7i05 7 06 NC

t,

SINJ N;O:{r3R sTIr.N'XMS-E El primer dfgito zre-rso-Ita el circuito, el sqtndo k la Comuna, y los dos ditimos el Sector o B=rjio. Asl por= ejemplo el barrio TBQUENIDA,%'4 estl localizado en el Circui to nCimero 7, Comuna ' y Sector 03(7' O3). El circuito se identifica en el olarno por un dlgito ence rrado en un circulo grande, La Comuna por dos dtg-Itos en cer:ados en un cfrculo peaueno y eJ. Sector por dos diaitos dentro de un rectdn..ulo.

j/ El nombre del barrio no figura en la cartografia de CEPOVI/73.

,,~~ *

.Ii,t

~

ANNEX 6 LIST OF FACTORS FOR RELOCATION

ANNEX

6

LIST OF FACTORS FOR RELOCATION

1.

Plant Capacity

2.

Rent Payments

3.

Skilled Labor Availability

4.

Cost of Skilled Labor

5.

Unskilled Labor Availability

6.

Cost of Unskilled Labor

7.

Cost of Public Utilities

8.

Quality of Public Utilities (energy, water, telephone,

9.

Cost of Adjacent Terrain or Land for Expansion

10.

Proximity to Suppliers

11.

Proximity to Clients (the market)

12.

Proximity to Competitors

13.

Access to Roads (highways)

14.

Access to Railroad

15.

Proximity to Subcontractors, Maintenance Facilities or Judicial, Commercial, or Financial Institutions

16.

Land Taxes (property taxes)

17.

Municipal Services (police, fireman, road maintenance)

18.

Security

19.

Environmental Qualities and Recreational Facilities

20.

Community's Attitude Toward the Establishment

99.

Other

telegraph)

U)

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111

CODIFICACION

DIE IMA-RCA,S DE VEIilCULOS

CODIGO

NIARCA

001 002 003 004 005 006 007 008 009 013 1ll

Arabeila Abarth Autocar Alpine Anglia Alfa Romeo Austin Avia Barreiros Bedford Berliet

012 013 014 015 016. 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 0 3)2 0323 033

03-'1

S_RIE

BM^7 Bussing Buick Buick Buick Borg Ward Cadillac Cadillac Cord Chevrolet Chevrolet Chevrolet Chevrole4t Chevrolet Chevrolet Chevrolet Chevrolet Chevrolet Clhevrolet Citroen _,,1.13c';er

Special Wildcat

i1 Dlor^ado

Biscayne Camaro Chevelle Chevy tNova Chevy II Corvair Corvette Impala Montecario

Checz

CJsui

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037

Dt.i"

0!)

MI,

I,

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Autto,* n-01

-2

-

CODIGO

MARCA

042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 0738 079

Dina Dodge Dodge Dodge Dodge Dodge Dodge Dodge De soto Datsun Ebro Edsel Ernest Gruber Euclid Fargo Federal Freight Liner Fiat Fiat Fiat Fiat Fiat Fiat Fiat Flexible Ford Ford Ford Ford Ford Ford Ford Ford Ford Ford Ford F ord W'ord

t 17L

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0 0 0

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0.00 -0.00 0.00

4) 14) 2'4)

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5) 15) !251

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3=OIAGONAL,

O.OG 0.00 0.00

5) 15) 25)

0.00 0.00 0.00

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0.00 0.00 0.00

4= TRANSVERSAL,

7) 17) 27)

12=L, 0 0 31942

7) 0.00 17) 0.00 27) 100.00

5=AVENIDA

2)

15559

3)

502

4)

632

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1653

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27

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49) 59) 69) 79)

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20)

4)

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4) 141 24)

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2) 12) 22) 32) 42) 52) 62) 721) 82)

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0 209 1813 29;5 1250 233 1029 972 3518 23

3) 13)

23) 33) 43) 53) 63) 73) 83) 93)

0 58 Z68 0 315

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1) Z3099 11) 83 21) 20 i1) 9 41) 5 51) 5 5) 61) S t-0) 71) 1 7u) 81) 1 110) 91) 1 90) 0 101) 100) 0 111) 110) 0) 121) IZO) 131) 0 30)

220) 2 30)

2'.01 290)

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3=BARRIO CODE OUTSIDE POSTA

0

0.00

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567 1000 2368 402

9) 19) 219) 39) 49) 59) 69) 79) 89)

0 144 88 0 248 185 285 484 473

5) 15) '25) 35) 45) 55) -651 75) 85)

0 0 134 0 4q3 219 349 0 133

61 1.6) 26) 36) 46) 56) 66) 76) 86)

0 0 0 0 0 416 0 0 0

7) 17) 27) 37) 47) 57) 67) 771 87)

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8) 18) 2a) 38) 48) 58) 68) 78) 88)

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4) 14) 241 34) 44) 54) 64) 74) 84)

0.00 0.45 0.28 0.00 0.78

5) .15) 25) 35) 55) 65) 75) 85)

6) 16) 26) 36) 46) 56) 66) 76) 86)

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0.58

0.00 0.00 0.42 0.00 1.54 0.69 1.09 0.00 0.42

0.00 0.00 G.00 0.00 0.00 0.00 0.00 0.00 0.00

8) 18) 28) 38) 48) 58) 68) 70) 88)

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3.02Z 5.4:1 0. t2

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33) 43) 53) 63) 73) 83) 93)

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42) 52) 62-) 72) 132) 92) 102) 112) 122) 132)

1567 66 19 3 .3 5 3 0 1 1 1 1 0 0

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4) 14) 24) 34) 44)

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64) 74) 84) 94) 104) 114) 124) 134)

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131 28 7 4 2 1 1 0 0

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PEPCEN~TAGES

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202) 212) 222)

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