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Codebook: The Population Census of 1821-1822 | |
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The Guadalajara Census Project: The Population Census of 1821-1822: Codebook 8.4 Codebook for the Censuses of 1821 & 1822: Detailed Explanations The following is a detailed description of the codebook for the population
censuses (padrones) of 1821 and 1822. Further information on the censuses
and on the historical era in which they were taken can be found at the
GCP web site <http://www.fsu.edu/~guadalaj> . The description of
each variable should be used in conjunction with the frequency tables
in Data Dictionary, 8.5 and the crosstabulation tables in Tables, 8.6.
There are two kinds of data in this codebook–literal and constructed.
A “literal” variable contains data that appeared in the original
census manuscript, actually written down by the census taker or their
scribe. The “constructed” variable contains data created
by the GCP staff. For an explanation of both types of variables, see
Type of Variables: Literal, 3.5 or Type of Variables: Constructed, 3.6.
There are also two kinds of variables–string (also called alpha-numeric)
and numeric. String variables contain those data copied verbatim from
the manuscript, examples of which are surname and job. Numeric variables
contain data that have been coded a numeric value, as in the variable
Sex where 1 stands for male and 2 for female. MASINDEX Master Index Number. A sequential number is assigned to every
case in the database (57092), beginning with the first case--the first
person listed on page one of the census manuscript for district one (cuartel
uno), 1821. The purpose of this index number is to be able to reconstitute
the database as originally ordered, particularly after a “sort” procedure.
For a list of sequential variables and technical explanation of how they
were created, see 9.4 Guide to Technical Issues. YEAR Year. Identifies the year in which each cuartel’s census was taken. One exception exists. The census taker for cuartel 22, a small district in the city’s northern margins took his second census in late December of 1821. We have labeled that census “1822" to avoid confusion with that cuartel’s first census taken in the summer of 1821. The “Comment” variable provides the exact date when the census was received by the city government, data appended to the last case of each cuartel. Manuscripts of the padron (census) of 1821 survived for all but one district, cuartel 16. The official total for the census of 1821, without counting those individuals residing in seminaries (colegios), convents, jails and hospitals, was 38,087. Our total of 35,288 is minus cuartel 16 but we counted those left out in the official count (in jails, etc.). In a number of cuartels our own count differed as much as several hundred from the original official figure. Except for cuartel 1, where we are missing several hundred residents, we believe that our count more accurately reflects the exact number of individuals found on the cuartel manuscript censuses than does the official count. (In order to compensate for the missing data of cuartel 1 we have included 243 heads of household from a separate list. They are identified by the variable “Head1821.” ) See History of the Censuses of 1821 & 1822, 6.2. Fewer original manuscripts survived from the census for 1822. However, the GCP has included heads of household counts which did survive for six cuartels (4, 5, 6, 9, 21 and 24), although the data for those individuals is not as extensive as in the full census. See Guide to Technical Issue, 9.4 for a discussion on how to account for missing data, and specifically how to compare 1821 with 1822. RESTYPE Residence Type. A “string” variable. This variable is used to provide the type of residence, if given. The most common is “casa” but also frequent are “convento,” asesoria (room off a court yard), carcel (Jail) and Casa de Vecindad (boarding house). A rancho is a residence (perhaps with a corral and a barn) on the outskirts of the cuartel, usually where some kind of farming takes place. If the residence is vacant, but the type of residence is known, than a “v” will appear in in front of the name; eg., vcasa for a vacant house. Note that while the number of vacant residences is 519 in fact they were more. Eleven of the cuartels that identified residence type reported no vacant houses, a possible but unlikely condition. Original spellings and names are given. “Unknown” means that no residence data was given in the cuartel, or that it was not given for this particular household. In one third of the cases, data is missing on residence type. Descriptions of the various kinds of residents can be had in Guadalajara in 1821, 5.3. For the frequency, see Data Dictionary, 8.5. RESTYPE2 Residence Type2. This variable is the numeric conversion of the previous string variable, with several different spellings of the same residence type consolidated into one code. The “0" stands for missing data. The following are all identifiable residence types. See the frequency table Residence Type2 in Data Dictionary, 8.5. For a list of consolidated variables and an explanation of how they were created, see 9.4, Guide to Technical Issues. 0 Residence is unknown.
0 Absolutely certain. Census taker clearly distinguished between households
and, if a multiple-family household, between families within households. PERSEQHH. Sequence number of each person within the household. The first person listed in the household is coded “1" and the last person whatever number that is. This sequence number is provided mainly to allow for research by sequence, mainly for the household head. It also allows for our own data verification, insuring that other household variables are coded correctly. The “missing system” represents the same cases as in the previous flag variable–vacant houses, group quarters and the heads of households in those cuartels where no other individuals in the households were recorded (variables heads1821 and heads1822). For the frequency table, see Data Dictionary, 8.5. TITLE Title. String variable. This variable means such titles as “Doctor”or “Licenciado,” (referring to a person with an academic degree, often but not always also used for abogados (lawyers). Most common were clerical titles such as Fray, El Sor, Sor, Padre, etc. Most of the cases are missing data. DONDOÑA Social Status/Hidalguía. The don and doña were awarded consistently and are quite useful for a number of questions involving social status. The following are the coded values for this variable. See the Data Dictionary for the missing data ( 7.5 percent of the cases.) The “systems missing” is primarily vacant houses. 0 Unable to determine (or person absent) DONDOÑA2 Social Status/Hidalguía. A consolidated version of the previous variable in which values 2 and 3 are added to 1. All missing data is consolidated into systems missing. For a list of consolidated variables and an explanation of how they were created, see 9.4, Guide to Technical Issues. 0 Unable to determine (or person absent). FIRSTNAM. First Name(s) or given name(s). Literal. In the Archive file,
first name(s) retain the original spelling and accent marks (or lack
of them) unless there is a clear spelling error and not just an unusual
convention. If there is any doubt, the original spelling is retained,
followed by what our staff believes to be the correct spelling, e.g.,
Trenidad [Trinidad]. All abbreviations, if known, are spelled out. If
not, they are entered as written. In the Consolidated File, modern conventions
in spelling and accent marks are maintained. This was especially true
of accent marks, which were rarely given in the original documents. SURNAME. Surname(s). The data entry for surnames (apelatibo o apellido) presents a number of specific problems and we have developed certain specific assumptions to deal with the many anomalies. The following is a discussion of each of those assumptions. Children lacking names or the “lazy ibid.” First, the census taker often did not provide the surnames of children, assuming that one would know that they would be the same as the father’s (and mother’s). At times the scribe used an ibid (written “id”) or simply left it blank (a situation the staff called “the lazy ibid.”). If the former, the data entry procedure was to write in the father’s name. If the latter the procedure was to write in the “assumed” father’s name with an “x” as the last letter as in Hernándesx, for example, if the father’s name was Hernándes). In the Consolidated file that name is simply entered as Hernándes with no “x”. Illegible names. In the case of both given names and surnames, a significant number of names were illegible, with some or all letters indecipherable. If the data entry person believed that they knew the name, the original name with all letters which could be deciphered written and all undecipherable letters replaced by dots. The presumed surname was then written enclosed in brackets. In the Consolidated file the name is given without brackets. The interpretation of the data entry person was based on the knowledge of Hispanic names (the personnel who made the final determination were all native-speaking, bilingual staff), aided by the three lists of Hispanic surnames mentioned above. The principle was, when in doubt always consult the lists of names. In the Consolidated file, only 231 names were declared “Illegible” out of the tens of thousands of names recorded. As a principle we also believed that it best to error on the side of potential error, than to leave a name to be written as “illegible,” which helps noone. Uncommon names. Many names were legible but obscure, even rare, with a listing in the standard lists of Hispanic names. Some appear to make no sense, but are clearly written. Our principle in all those cases was to write the name as it appeared to be written, understanding that pre-twentieth century spelling in most cultures was inconsistent, and in some cases down right anarchistic. Persons searching for uncommon surnames clearly must use imaginative reconstructions in order to have a chance at success. Combined names and articles. Although Hispanic tradition allows individuals
to maintain both parents surnames, our sources rarely gave both. If they
did, both names were entered, separated by a space. This procedure is
unsatisfactory from the point of view of searching for that second name,
and will be changed in the future censuses. However, for the censuses
of 1821 and 1822, no procedure exists to search for the second name.
None the less, that situation is so rare that one may print out the surnames
(a mere 46 pages) and search by hand for those with a double patronymic.
Surnames preceded by an article such as “de” or “de
la” or “del” or “de”were entered as surname
first, then the article, as in “Ocampo, de”. This, too, will
be change in future data to place the article first, as it is generally
done in contemporary Latin America. All abbreviations were spelled out,
unless the actual name was unknown. AGE2. Age/edad consolidated. Data consolidated into the following cohorts: 1 Ages 0.01 [1 month] to 4 SEX. Sex. [Constructed variable] Values are 0 = unable to ascertain;
1 = male; 2 = female. The sex variable was rarely recorded as such by
the census takers, but most often easy to infer. In Spanish the word
ending for names, occupations, marital status, among others, provides
the missing data. Females’s usually end in “a”; males
usually end in “o”. None the less, exceptions exist. Both
male and females were given the names of Trinidad and Guadalupe, to name
the most common. Usually even here, however, other kinds of evidence
will reveal the sex, such as marital status (e.g. “doncella” for
young lady) or occupation (“comercianta” or female merchant).
If, however, no such evidence exists and the name is unisexual then the
value assigned to the sex variable for that individual is coded as unknown,
the value for which is “0". (Usually “0" will be
used for a value which is missing because it was never available; a “9" or
some variant usually will be used for indeterminable from the data provided,
usually meaning illegible data.) For our data, sex was know for all but
2.1% of the cases, half of those being vacant houses. 0 unknown [Not given in cuartel.] ESTADO2. Estado/marital status. Consolidated from the previous variable. All missing values are converted into system missing dots. Casadas were previous variable 4, 5, 11, &44. Viuda were 6, 16, 66. All the rest were single. For a list of consolidated variables and explanation of how they were created, see 9.4, Guide to Technical Issues. 1 Single/soltero JOB Job/oficio. String. Approximately two-thirds of all residents who were neither too old to work nor too young, were given an occupational title. The many variations in spellings, the many types of the same occupation, etc. are preserved in the Archive file. There were, for example, 19 different “comerciantes,” including a number of double occupations. These may be found in the Archival file and are, indeed, useful for researching certain specific questions. In the Consolidated file, all comerciantes are listed under one value of “comerciante.” Also, the feminine ending is eliminated (ie, “comercianta”) because it is easily obtained through recoding based on the Sex variable. JOB2ENG English: job/oficio2. Dito. English translation of the job titles. SIMJOBHD Person has same/similar/related occupation as head of household.
[Constructed Variable] The purpose of this variable is to provide some
data on the tendency of any occupation to reside together within the
same household. At least two different situations may be uncovered by
this data. One is that of the journeymen artisans who reside in the household
of a (presumed) master artisan. The other is for members of the same
family to be engaged in the same occupation. The obrageros were obvious
examples of the latter, as they were most often “cottage” weavers,
that is they worked in their own home rather than in a shop run by a
master. However, they may still have been journeymen, working on consignment
from a master 0 Not applicable (no occupation given) 0 Unknown CALIDAD2. Calidad/ethnicity. This variable is consolidated from the previous variable. For a list of constructed variables and an explanation of how they were created, see 9.4, Guide to Technical Issues. 1 Español RAZACLAS. Ethnicity and class. This variable provides a means to measure
social status within the colonial racial categories, but is particularly
useful for dividing the Spanish along the lines of social status. In
summary its purpose is to provide a hypothetical surrogate for class
or, more accurately, social stratification. Separating ethnicity by razaclas
will enable the user to search for patterns which may link or divide
individuals of the same ethnicity. One may find, for example, that lower
status Spaniards often resembled Indios and the castas more closely in
various social and demographic characteristics then they did their higher
status “cousins.” For a list of constructed variables and
an explanation of how they were created, see 9.4, Guide to Technical
Issues. 1 Don español SPOURACE Spouse’s ethnicity. [Constructed Variable] This variable was created by coding the enthnicity of each married person, where known. It was then used to create the variable Racespou, which categorizes the each married couples combined ethnicity. The purpose is to provide a variable which measures the tendency to marry within one’s ethnic/racial group (endogamy) or to marry outside that group (exogamy). For a list of constructed variables and an explanation of how they were created, see 9.4, Guide to Technical Issues. 0 No spouse RACESPOU Spouse’s ethnicity combinations. 1 Español & Español
PATRIA2. Patria/birthplace. Patria2 is the same variable as Patria, re-coded to facilitate statistical analysis. 516 separate birthplaces are listed, including Guadalajara. For a list of consolidated variables and an explanation of how they were created, see 9.4, Guide to Technical Issues. BIRTHPLC Birthplace/patria. Consolidated birthplace. For a list of consolidated variables and an explanation of how they were created, see 9.4, Guide to Technical Issues. 1 Guadalajara CONSTRUCTED VARIABLES: MIGREGIN. Migration region. Consolidated regions. For a list of consolidated variables and an explanation of how they were created, see 9.4, Guide to Technical Issues.
0 Not applicable (Did not migrate) YEARSRES Years in residence. This variable applies only to cuartels 18 & 20 for 1821 as those were the only cuartels which gave the years in residence for migrants. This is an exceptionally valuable piece of data because it is so rare. In order to provide a rough estimate for years in residence, the GCP staff have developed several of the following variables based on the presence of children. However, the variables have not been created in the database. The user may or may not want to create these variables along the lines outlined below. AGEMIG Age at Migration. Cuartel 18 & 20, 1821 only. This variable is the only age at migration variable that has been created for the user. Using the “Compute” function of SPSS software, the variable “Years in residence” was subtracted from the variable “Age” to arrive at the (hypothetical) age at migration for each relevant case. We say “hypothetical” because each user must determine their own confidence in the data itself. For example, how accurate is the age data provided by the census takers? Interestingly, the GCP database provides the user with an unusual means to estimate the accuracy of age data. Because we have provided two censuses relatively close in time, yet one taken by different individual census takers, one may search for individuals appearing in both censuses and measure the range of difference between the two ages. One may also attempt to link actual birth records with our data, presumably arriving at a more accurate age with which to estimate census error, although one must admit at a somewhat greater cost in time and effort. AGEMIG2 Age at Migration “Two.” Based on FMIGMAR, value 2. Here one bases the age at migration on the age of the youngest child born elsewhere. In the case of our example above, if only children born elsewhere resided in the family, then the mother migrated sometime after her 30th birthday and prior to her 40th. Obviously the younger the child, the more useful is this variable. Again, this variable has not be created by the GCP. AGEMIG3 Age at Migration “Three.” Based on FMIGMAR, value 3. Here one bases the age at migration on the age of the oldest child born in Guadalajara. In the case of the previous example, if that age were 7, all we can safely conclude is that the mother migrated to Guadalajara sometime between her birth (1781) and the birth of her child in 1814. While one might be tempted to say that having married a migrant, that one might use a presumed age at marriage to estimate the range of the age at migration. However, a preliminary survey of the migration data from cuartels 18 & 20 reveals a trend among migrants whom are known to have migrated single to marry other migrants. And among all migrants, less than one-quarter marry a Guadalajara-born mate. Therefore any conclusions based on the value 3 of FMIGMAR must be considered very tenuous at best. 0 Not Applicable (All non-migrants, all children regardless of their
place of birth, all migrants who do not have a children born elsewhere.) MIGKIN Migrant lived with kin. We are defining “kin” as same name persons who were not part of the nuclear family, or are presumed in-laws. This includes parent or children of migrants, for example, if they form a different family or they are part of an extended family. Note that value 3 is a condition that may very the individuals in the household. In other words, it was possible and indeed common for some kin to have a value of 1 or 2 and others a value of 3. This might take place if at lest two different towns were present in one family, and only one town present in another, related family, living in the same household. Individuals in the family with one town received a 3, while members of the other family were coded either a 1 or 2, depending on the circumstances. Unfortunately, value 4 does not indicate whether the kin who migrated did so from the same or different town. There are relatively few individuals who received a 4, however, so they may be re-coded by hand if one wishes. If possible, this variable and the one to follow should be used in conjunction with an estimate of when the migration took place, because the composition of a migrant’s household was clearly affected by the timing of migration. 0 Not applicable (Non-migrants or migrant living in a nuclear household
or migrants who do not live w/kin.) 0 Not applicable. Applies to non-migrant, to migrant who lived only
with kin and to migrant who lived only with non-migrant. HHSTRUC Household Structure. The Household structure variable captures the dominant familial relationship that exits within the household, and codes all members of the household as living within that category, whether family, kin, servants or boarders, and whether single persons living alone (although perhaps with servants or boarders) or unrelated persons living together. Multiple family households are characterized by either the presence of kin within other families in the household, or by the type of family structures among unrelated families. Because the variable applies to the entire household, every member of the household receives the same code. The categories used are based on those developed by Peter Laslett and E. A. Hammil, with the GCP’s additions and exceptions duly noted and justified. In particular we have rejected their concept “houseful” to identify and isolate non-family members or kin living on their own. Instead, we categorize the household according to the dominant family arrangement. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 0 Unclassifiable The second objective is to identify those (three) assumptions which differ from (indeed, at times, at odds with) the Laslett/Hammil topology. In essence our “assumptions” represent an effort to capture familial relationships which otherwise would be lost. Those are: • The “Widow’s Assumption.” This assumption is defined as a widow or widower heading a household containing a family (CFU) in which both partners are 15 years or more younger than she is, if a widow, or in which one partner carries the same paternal name, if a widower. In the latter case, that partner with his surname would have to be at least 15 years younger than he, the widower, is. In such a case, the widow(er) is coded in Household Structure as heading an extended household, related “downwards.” In either case, the Laslett/Hammil system would not consider the widow(er) the head of the household and we do. For a widow, however, this assumption is even more tenuous (if the relationship between her and the following CFU is not specified in the manuscript) since a widower’s children would have his surname name while a widow’s would (generally) not. While recognizing that the widow may, in fact, be unrelated to the family which follows (may indeed be a solitary head of household with a boarder family), the GCP contends that the more common pattern was that she was related, a pattern we see in our data where the relationship is specified in the manuscript. • The “No-family Assumption” is a group of individuals
which do not form a family but which are listed on the census ahead of
a family (CFU) in the same household to whom they are not related. (This
would be coded 20, “Multiple family household, unrelated” in
household structure). They are not coded “boarders” because
the assumption is that boarders would not be listed first by the census
taker. A “no-family” which follows a CFU are always boarders
unless they are related to the CFU.
0 = Very reliable. Structure established by name and position in household.
No ambiguous persons present. POSINHH Position in the household. Numeric. This is the relationship of each person in the household to the head of the household. Every person in the household gets a value. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 0 Unclassifiable 0 Relationship established by data in the manuscript. Include female “casada” following
male “casado” and preceding children with father’s
surname. FAM3GEN A three generation (or more) household. They may include the
grandparents but may also include persons of the same generation as the
grandparents. They are defined as persons of the same surname of the
head or the spouse. Mothers (or same-name female relative) must be between
15 and 49 years older than their children. Fathers (or same-name male
relative) must be between 16 and sixty-four years older. For a detailed
explanation on the household and family coding system used in this and
the other household-family variables, see 9.4 Guide to Technical Issues. 0 = Unclassifiable 1 = yes 2 = no 9 = Not member of a 0 Not a CFU (includes group quarters) FFAMSTRU Flag: Family Structure. These flags are similar to the flag for household structure except that the values of solitary household and no family households are given a separate value since they are, by definition, not families. “Ambiguous persons” means boarders, servants or other persons not members of the family but members of the household. Boarder, servant or employee families, by definition, are families with ambiguous persons present. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 0 Very reliable. Structure established by name and position in family
for values 5-14. No ambiguous persons. POSINFAM Position in the Family (PIF). This is the relationship of each person in family to the head. Only related persons are given a value. Persons who are members of the household but not members of a family (CFU) in the household are given a 0. Note that the head of a family in a “Widow’s Assumption Household” is the head of the CFU, not the widow. (Ordinarily the head of an extended family household would automatically be listed as the head of the family within that household.) Although we have placed the widow at the head of their households (were they were so listed), those social and legal norms which justifies our assumption would not have replaced the head of his (or her) own family in matters relating to that family only. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 0 Not applicable (persons in the household not members of families by
blood or law.) FPOSINFA Flag: Position in Family. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 0 Relationship established by data in manuscript. MRFUHSTR Structure of multiple related families, unrelated to the head of household. This variable applies to a multiple family combining related and unrelated CFU, in which the first family is unrelated to the other families (there must be at least three families in the household) who, however, are related to each other. The latter’s relationship will be identified neither in the household variables nor in the family variables. MRFUH (pronounced “Mister Fu”) is intended to make up for that deficiency. The concept of MRFUH was originated by Dr. Mary Cooney, a member of the GCP staff. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 15 Multiple family: related, secondary units upwards 0 Unclassifiable FPOSINMF Flag: Position in MRFUH. Note that this variable does not require a value of 5 or 99 since by definition all who receive a code should be related to the head of a MRFUH “household.” For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 1 Head of the first multiple related family. Position established in
census. 0 Not a family FAMSEQHH Family sequence in the household. This variable tracks the order of each family in a multiple family household. Each member of the household receives the same code. For a detailed explanation on the household and family coding system used in this and the other household-family variables, see 9.4 Guide to Technical Issues. 0 Not member of a CFU FMOMLOC Flag: Mother’s location in household. This variable is used for the children to distinguish between biological children of parents and stepchild and/or adopted children. For value 2, the range is 15-49 for women ands 16-64 for men, using the definition developed by Ruggles cited above. For further details on Momloc and all the “loc” variables see 9.4 Guide to Technical Issues. 0 = Biological parent specified in the data. POPLOC Father’s location in household. For further details on Momloc and all the “loc” variables see 9.4 Guide to Technical Issues FPOPLOC Flag: Father’s location [Same as FMOMLOC except widower’s go in value 1, not 5.] SPLOC Spouse’s location in household. For further details on Momloc and all the “loc” variables see 9.4 Guide to Technical Issues NUMINHH Household size, that is how many persons resided in each household, including all family members, servants, borders, etc. This variable apply only to households. It does not include Group Quarters. Also note that for the “numbers” household variables everyone living in the household receive the same numeric code. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. MALES Number of males in the household. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. FEMALES Number of females in the household. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. BOARDERS Number of persons not related to the head of a family, nor listed as “servants,” “employees” or “unspecified children under age of 16. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. SERVANTS Number of servants in each household. Note that this variable does not apply to households headed by servants. Servants are define as those live-in servants with the occupation of: cocinera (if a live-in), sirviente/sirvienta, criado/a, cochero (if a live-in), moso, chichiqua, pilmama, mandadero, recamarera, lacayo, portero (if live-in), domestica, companera For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. WORKERS. Number of employed persons in the household. Does not count “estudiantes, escolares, colegiales”, escolapios or any person identified as a student. Does not include live-in servants. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. MIGRANTS. Number of migrants in the household. For more detail on the NUMINFAM Size of family. These “Numbers” variables apply only to members of families. No servants, renters, or other non-family members are counted. Only members of a family receive the value. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. ADULTS Number of adults in family (age 18/plus). For more detail on
the “Numbers” variables, see 9.4 Guide to Technical Issues. FAMKIN Number of kin in family. For nuclear and extended family households (HHSTRUC values 5-14) kin are the number of persons who were coded 4 thru 17 in the “Position in Household” variable. Heads of family, spouse and children do not count as kin in their own family. For related multiple family households (HHSTRUC values 15-18), the number of kin will vary with the family. For the first family, the number of kin would be the number of kin living in their family and the number of persons related to any kin living in the second (or more) family. For the second (or more) family, the number of kin will include those kin living in the first family and any person related to any member of the first family. For more detail on the “Numbers” variables, see 9.4 Guide to Technical Issues. BLOCK Block/mansana. Literal. This variable is the block number, if one was given by the census taker. It is not known if the block numbers were officially designated or whether they were assigned arbitrarily by the census taker, although the latter appears more likely. Cuartel 23 was divided internally by “departamentos.” Many census takers did not assign block numbers. Also, only about 40% of the block numbers have been identified as to their actual location on a city map of the era. Those blocks whose location are known will be assigned a GIS block number. See the GIS variables below. STREET Street name. Literal. String variable. Street names were not always given, and even when given, there is no guarantee that all individuals in the city knew the street by that name. We have no map of the era which gives the street names and have had to work with various sources to determine the location of those streets we can identify. For a detailed discussion of street names and other issues relating to location, see Maps, 7.0 GISBLOCK GIS-assigned block #. For more detail on the Geographic Informational Systems (GIS), see 7.0, Maps GISCUADR GIS-assigned side or “facing” block. For more detail on the Geographic Informational Systems (GIS), see 7.0, Maps GISTOWN Geographic Information Systems (GIS). Moderns municipalities in Jalisco. These are birthplaces as given in 1821-22, identified by their modern municipality. For more detail on the Geographic Informational Systems (GIS), see 7.0, Maps GISSTATE GIS Contemporary Mexican States. Birthplace in 1821-22 identified by their contemporary Mexican states. For more detail on the Geographic Informational Systems (GIS), see 7.0, Maps GISWORLD GIS Contemporary Nations. Based on the FIPS_CNTRY of identification, identifying their birthplace in 1821-22. For more detail on the Geographic Informational Systems (GIS), see 7.0, Maps GQNAME Name of group quarters. String. Group quarters were public or private institutions such as jails, convents, charity houses (casa de Recojidas) and hospitals, the latter associated with the convents. Nearly seven hundred persons lived in such institutions, mainly as individuals rather than families. For more detailed explanation of Group Quarters, see 9.4, Guide to Technical Issues. GQNAME2 Name of group quarters, numeric variable. For more detailed explanation of Group Quarters, see 9.4, Guide to Technical Issues. GQSEQ Sequence number of all individuals within each Group Quarters. This variable serves the same function as the PERSEQHH variable for individuals within households. For more detailed explanation of Group Quarters, see 9.4, Guide to Technical Issues. HEAD1821 Cuartel number of the head list for 1821. The head list was only used for this year for cuartel 1, to makeup for data missing for that cuartel. However, the majority of the data is complete for this cuartel. HEAD1822 Cuartel number of the head list for 1822. The “head list” refers to several thousand individuals who were primarily heads of households and families. Although no family information was provided for those individuals, and often little data for the heads except name and perhaps occupation and age, the GCP decided to include them in the database. This variable will allow users to identify this sub-group within the census, and to isolate them if they wish from the analysis of households and families. COMMENT. Comments by census takers or GCP staff. Such comments may be about individuals in the census, such as the comment made about a husband whose wife had fled with another man (“fugitivo con otro hombre”). Comments by the census takers are written as is, without quotation marks. Comments by the GCP staff are always entered in brackets as in “[Age appears correct on ms.]”. Occasionally it is necessary to combine both census taker’s comments and staff comments, such as: “[Census taker wrote “casa de Benida” under her estado.]”. Comments prior to the listing of the first household (usually headings) are attached to the first person of the first household, under the comment variable. Comments and other ending documentation are attached to the last person in the last household of the cuartel, in the Comment variable. PAGE Manuscript Page Number. Constructed. This is not the page number
on the original census manuscript. It is the page number on the GCP copy
of the original manuscript. In order to facilitate the location of data
on our copy of the original manuscript page, each page of the copy for
each cuartel is numbered from 1 for the first page (often a “cover” page
with only the cuartel number and year on it) to the last page. Our numbering
system only rarely duplicates the actual numbers placed on the manuscript
pages by the original writer. Often the original manuscript was copied
on both sides, for example, but only usually side one was numbered. In
other words, this variable is an internal data variable, designed for
facilitating data entry and data verification, not to locate data on
the original manuscripts held in the Archivo Historico Municipal de Guadalajara.
The two exceptions to this description are the “fictional” cuartel
25 and the cuartel 1 “head list” for 1821, in which data
was taken from several sources. Hence the page numbers are duplicated.
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© 2003 Florida
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