spain.1900 {lar} | R Documentation |
Spain_1900_(JMTL-Sept2011).xlsx (MS Excel file)
Description
This file describes the labour relations in Spain in 1900. The file was kindly provided by Prof. Lana-Berasain. See details for restricted use of this data.
Usage
data(spain.1900)
Format
A data frame with 823 observations on the following 52 variables.
labour.rel.3
a numeric vector
labour.rel.2
a numeric vector
labour.rel.1
a numeric vector
id.labrel
a numeric vector
id.pop
a numeric vector
day
a numeric vector
month
a numeric vector
year
a numeric vector
year.start
a numeric vector
year.end
a numeric vector
locality
a factor with levels
[Text/NA]
NA
urbanized
a factor with levels
[Y/N/NA]
NA
Y
region
a factor with levels
[Text/NA]
NA
country
a factor with levels
[mandatory]
[Text]
Spain
total
a numeric vector
minimum
a numeric vector
maximum
a numeric vector
quality.total
a factor with levels
[A/C/E]
[mandatory]
A
C
gender
a factor with levels
[mandatory]
[T/M/F/U]
F
M
T
mar.stat
a factor with levels
[mandatory]
[T/M/S/W/D/U]
M
S
T
U
W
age.start
a numeric vector
age.end
a numeric vector
type.activity
a factor with levels
[mandatory]
[P/L (+a/c/d/j)]
L
P
branch
a factor with levels
Affluents
Agricultural and animal husbandry workers
Architects, engineers, etc
Authors, journalists and related writers
beggars,tramps and prostitutes
Bookkeepers, cashiers and related workers
Bookkeepers, cashiers, etc
Bricklayers, carpenters, etc
Buyers
Cabinetmakers and related woodworkers
Chemical processors
Children
Clerical and related workers
Composers and perfoming artists
Composers and performing artists
Convicts and prisoners
Cook, waiters, bartenders, etc
Cooks, waiters, bartenders, etc
Electrical fitters and related electrical and electronical workers
Food and beverages processors
Glass formers, potters,etc
Government executive officials
Housekeeping services workers
Jurists
Machinery fitters, machine assemblers, etc
Machinery fitters, machine assemblers,etc
Maids and Housekeeping services workers
Mail distribution clerks
Managers
Material handling and related equipment operators, etc
Medical, dental, veterinary, etc
Metal processors
Miners, quarrymen, well-drillers,etc
NA
Not working
Other production workers
Patients, people in hospices, mads and alienated
Primary school
Printers and related workers
Protective services workers
Retired and State pensioners
Sales workers
Salesmen, shop assistants, etc
Sculptors, painters, photographers,etc
Service workers not classified
Spinners, weavers, knitters, dyers,etc
Stenographers, typists,etc
Students
Tailors, dressmakers, sewers, upholsterers, etc
Tanners, fellmongers and pelt dressers
Teachers
Text/NA
Transport equipment operators
Unemployed
Wood preparation workers
Workers
Workers in Religion
Workers not elsewhere classified
Working proprietors (wholesale and retail)
branch.hisco
a factor with levels
[0-9/NA]
[note instructions]
0
1
2
3
4
5
6
7
8
9
NA
occup
a factor with levels
"corretaje, comisión, exportación"
"negociantes, comerciantes, tratantes"
[Text/NA]
Actors and performing artists
Agricultural workers
Architects and engineers
Army
Assistants to the cult
Authors
Bookkeepers and cashiers
Building sales workers
Cabinetmakers and woodworkers
Chemical processors
Chemical product,hardware and paint sales workers
Circus performers
Civil service workers
Clerical and related workers (empleados)
Clothing industry
Combustible sales workers
Composers, musicians and singers
Construction workers
Creative artists
Domestic servant
Domestic service
Double counted professions
Dress and hat sales workers
Energy workers
Finance clerk and Insurance
Fishermen and hunters
Food and beverages processors
Food and beverages sales workers
Furniture sales workers
General managers (industriales, fabricantes)
Hotels, coffe bars, guest houses and bars
Individuals without profession
Jurists ('profesiones judiciales')
Leather and hide workers
Leather sales workers
Livestock workers
Luxury products, Sciences and Arts products sales
Machinery mechanic
Mail, telephone and telegraph
Medical workers
Members of Religious Orders (clero regular)
Metal workers
Metals sales workers
Military
Miners and quarrymen
Ministers of non catolic cults
Ministers of religion (clero católico secular)
Momentarily unemployed
NA
Policemen (guardia civil, carabineros y policía)
Pottery sales workers
Pottery workers
Printers and related workers
Prostitute
Sales workers not clasified
Salesmen, shop assistants and demonstrators
Stenographers, typists, translators
Teachers
Textile sales workers
Textile workers
Transport by railway
Transport by rivers and canals
Transport by sea
Transport by streets, roads and bridges
Transport machine makers
Transport sales workers
Undertakers and embalmers
Unknown profession
Waiters (mozo de almacén,mozo de comedor,camarero)
Warehouse porters
Waste materials processors and other industries
Waste materials sales workers
Wood sales workers
Wood treaters
Workers (jornaleros,braceros,peones,destajistas)
occup.hisco
a factor with levels
[010-999/NA]
020
061
120
130
141
149
151
161
171
173
175
211
310
321
331
339
370
393
410
422
451
490
532
540
582
583
592
599
621
624
649
711
720
731
749
750
761
779
791
810
841
849
859
892
920
949
950
971
981
984
989
999
NA
position
a factor with levels
[Text/NA]
Affluents (personas que viven de sus rentas)
Family members
NA
Retired and State pensioners
nationality
a factor with levels
[Text/NA]
NA
ethnicity
a factor with levels
[Text/NA]
NA
race
a factor with levels
[Text/NA]
NA
religion
a factor with levels
[Text/NA]
NA
social.group
a factor with levels
[Text/NA]
NA
source
a numeric vector
volume
a numeric vector
page
a factor with levels
[#/Text/NA]
210-219
27-29
298-323
323
479
labour.rel.1.pct
a numeric vector
labour.rel.2.pct
a numeric vector
labour.rel.3.pct
a numeric vector
remark
a factor with levels
[Text/NA]
349 settlements with more than 5000 inhabitants
Also classificable as HISCO 441
Children included in the group "retirados, pensionistas del Estado y de otras administraciones públicas y privadas"
It has been supposed that children and old persons were kin producers
Marital status unknown
NA
The shares of self-employed and wage earners has been estimated according to the average of salaried workers in 1860 and 1955 (sources 14 and 15, pp.162-163)
The shares of self-employed and wage earners has been estimated according to the share of patrons in the census of 1920 (source 11, V, pp.421-424, 487)
The source gives that number as age unclasified
The source warns that the excess of 135,120 were persons registered with more than one profession
Youngmen included in the group "retirados, pensionistas del Estado y de otras administraciones públicas y privadas"
txt1.1
a factor with levels
Commodified
EitherOr
Non working
Reciprocal
Tributary
Unknown
txt1.2
a factor with levels
Community
EitherOr
Household
Market
Non-market
Unknown
txt1.3.ext
a factor with levels
Affluent (2)
Cannot work (1)
EitherOr
Employers (13)
Household
Indent.lbr. (15)
Indent.lbr. (9)
Kin non-prod. (5b)
Kin prod. (5)
Kin prod. (5a)
Leading prod. (4)
Multiple
Obligatory lbr. (8)
Redist.lbr. (7)
Self-Employed (12)
Serfs (10)
Serfs (16)
Servants (6)
Slaves (11)
Slaves (17)
Unemployed (3)
Unknown
Wage-Earners (14)
Wage-Earners (18)
txt2.1
a character vector
txt2.2
a factor with levels
Community
EitherOr
Household
Market
Non-market
Unknown
txt2.3.ext
a factor with levels
Affluent (2)
Cannot work (1)
EitherOr
Employers (13)
Household
Indent.lbr. (15)
Indent.lbr. (9)
Kin non-prod. (5b)
Kin prod. (5)
Kin prod. (5a)
Leading prod. (4)
Multiple
Obligatory lbr. (8)
Redist.lbr. (7)
Self-Employed (12)
Serfs (10)
Serfs (16)
Servants (6)
Slaves (11)
Slaves (17)
Unemployed (3)
Unknown
Wage-Earners (14)
Wage-Earners (18)
txt3.1
a numeric vector
txt3.2
a factor with levels
Community
EitherOr
Household
Market
Non-market
Unknown
txt3.3.ext
a factor with levels
Affluent (2)
Cannot work (1)
EitherOr
Employers (13)
Household
Indent.lbr. (15)
Indent.lbr. (9)
Kin non-prod. (5b)
Kin prod. (5)
Kin prod. (5a)
Leading prod. (4)
Multiple
Obligatory lbr. (8)
Redist.lbr. (7)
Self-Employed (12)
Serfs (10)
Serfs (16)
Servants (6)
Slaves (11)
Slaves (17)
Unemployed (3)
Unknown
Wage-Earners (14)
Wage-Earners (18)
sortID2
a numeric vector
ctry.time
a character vector
bmyear
a numeric vector
Details
This dataset originates from the Labour Relations Collaboratory and specifically describes labour relations in Spain in 1900. The dataset and others in the project including full documentation and licenses are available from: http://www.historyoflabourrelations.org, hosted by the International Institute of Social History (http://socialhistory.org). The dataset is constructed by Professor José-Miguel Lana-Berasain who has kindly agreed for this dataset to be used in the lar-package. Use of the dataset is limited to the conditions specified at the Collaboratory website: http://www.historyoflabourrelations.org .
Source
https://collab.iisg.nl/c/document_library/get_file?p_l_id=273223&folderId=283117&name=DLFE-91302.pdf
References
Lana-Berasain, J-M. ?. Labour Relations in Spain, 1800, 1900 and 2001: A methodological approach. URL: https://collab.iisg.nl/c/document_library/get_file?p_l_id=273223&folderId=283117&name=DLFE-91302.pdf. Last accessed: April 28, 2014.
Examples
data(spain.1900)