spain.1900: Spain_1900_(JMTL-Sept2011).xlsx (MS Excel file)

In lar: History of labour relations package

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)

lar documentation built on May 1, 2019, 10:09 p.m.