THE UlUVERS ITY OF WIS CONS IN Department of History Quantitative Research Project Peter H. Smith June 1969 ' NOTES FOR,ARGENTINEL,, ELECTION AND CENSUS BATASm"

SOURCES

Election data: Republica , Ministerio del Interior, Las Fuerzas Armadas !est:ttuyen & ip!Pe_;:5=._C?_ 2_~ _!! ~' E9J!Ul~t (,-- 1946), Vol.:µ. Census Data: Republica Argentina, Direccion Nacional del Servicio Estadistico, iv° Censo General~!,! Nacion [1947) (Buenos Aires, 1949), 3 Vols.

RAW DATA

l. There are no data for the partidos of Antofagasta de le Sierra (Catamarca), Chimbas (San Juan) or Zonda (San Juan) since they are not mentioned in the election returns. 2. It might be appropriate to add the election results for the partidos of Desaroparado and Concepcidn to thos.e of Capital (San Juan); there are no census data for Desamparado and Conception, which were apparently incorporated into the Capital before the taking of the census. 3. Partidos which are not listed in the industrial census (deck 5, cols. 22-57) have been assigned zeroes for the relevant categories; instead of using the missing data code, that is, I have assumed that such partidos had no indus­ trial activity. 4. Industrial data for some partidos are, in the census report, "included"* in the totals for other partidos. In the province of Buenos Aires, industrial figures for General Conesa are "included''f.in the totals for Zarate; in Jujuy, Rinconada and Santa Catalina are included in Yavi; in La Rioja, General Lamadrid, Pelagio B., Luna, and Independencia are all included in Velez Sarsfield; in Saltd, Caldera, Guachipas, La Poma, and "Santa Rosa de los Pastosu (= Iruya?) are in­ cluded in Los Andes; in Santiago del Estero, Bartclom~ Mitre is included in Vein­ tiocho de Marzo. For the "included" partidos I have used the missing data code, though it would appear that their industrial activities are so minimal as to justify the use of zeroes as well. s. Since there are no figures on "land tenure" for the Capital Federal (cards 4-5), missing data codes have been used.

*This means low urbanization and other economic activity is rural Data and Program Library Service University of Wisconsin September, 1969 CODEBOOK Argentine Research Project Peter H. Smith ARGENTINE ELECTION OF 1946 AND CENSUS OF 1947 (MW DATASET)*

ALL DECICS Identification Cols. 1-3 County (particl..2) No. Range: 002-288, 293-370 4-5 Province No. 01 - Capital Federal (as single unit) 02 - Buenos Aires 03 - Catamarca 04 - Cordoba 05 - Corrientes 06 - Entre Rios 07 • Jujuy 08 - La Rioja 09 - Mendoza 10 - Salta 11 - San Juan 12 - San Luis 13 - Santa Fe 14 - Santiago del Estero 15 - Tucuman 16 - Capital Federal (for circunscripciones) 6 Deck No. Range: 1 - 5

DECK l Voter Participation Cols. 7•12 No. Registered Voters (inscritos) 13-18 No. Voted (votantes)

* Preliminary Notes 1. Data compiled by Peter H. Smith, Department of History, University of Wiscon­ sin, Madison, Wisconsin 53706 (U.S.A.). NOT TO BE USED FOR PUBLICATION PUR­ POSES WD.HOtrr WRITTEN PERMISSION. 2. Missing data code is a full field of 91s: e.g., 999999 3. For further explanation of data see ''Notes on Argentine Election and Census Dataset"; £pr nlDllerical code to provinces and partidos see separate memorandum. DPI.S • UW Smith, Raw Dataset Page 2 - Codebook Presidential Election Results Cols. 19-24 Percin-Quijano Vote 25-30 Mosca•Tamborini 31-34 Partido Dem6crata Nacional 35-38 Votes en blanco 39-42 Local Radical Parties u.c.R. Lencinista in Mendoza u.c.R. Bloquista in San Juan u.c.R. de Santiago del Estero Gubernatorial Election Results* Cols. 43-45 Partido Salud Publica* 46-49 Radical Party groups which participated in the Peronist presidential alliance but ran separate gubernatorial tickets: u.c.R. Junta Renovadora in Catamarca and Corrientes U.C.R. Yrigoyenista in Jujuy and Tucuman 50-55 Partido Laborista y u.c.R. - Junta Renovadora (the basic F.eronist force) 56-61 U.C.R. • Comite Nacional (the basic anti-Peronist coalition) 62-67 Partido Socialista 68-71 Partido Dem6crata Nacional 72-75 Votes en blanco 76-80 Partido Laborista (when opposed by Junta Renovadora or Yrigoyenistas)

DECK 2 Gubernatorial Results (cont.) Cols. 7•10 Partido Comunista 11-14 Radical Party groups which consistently opposed Peron u.c.R. Antipersonalista in Corrientes u.c.R. Lencinista in Mendoza u.c.R. Bloquista in San Juan u.c.R. de Santa Fe u.c.R. de Santiago del Estero 15-18 Partido Liberal 19-21 Partido Democrata Nacional Autonoma 22-25 Concentracion/ Obrera* 26-30 Partido Democrata/ Progesista 31-33 Partido Laborista Tucumano 34-38 Unidad y Resistencia* 39-43 Alianza Libertadora Nacionalista 44-47 Partido Patriotico 4 de Junio* . 48-50 '6ni0n Centros Independientes*

* Results of National Deputy election used for the Capital Federal, since there was no gubernatorial campaign in the City of Buenos Aires. Parties marked with aster­ isks ran candidates only in the capital. DPLS - 'OW Smith, Raw Dataset Page 3 - Codebook Social Characteristics of Electoral Districts Cols. 51-57 Total Population 58-61 Population Growth Rate 1914-47 (average annual increase per 1000 inhabitants) 62-67 Urban Population (in communities of 2000 or more) 68-74 No. Argentine-Born Male Inhabitants. Total No. of Argentine Men. 75-80 No. Argentine-Born Men from Outside Privince (or, tn the case of Buenos Aires, outside Capital Federal). Total No. of men in a county, but born in another ROunty (geographical mobility).

DECK 3

Cols. 7-12 No. Foreign-Born Male Inhabitants 13-16 % Illiterate (out of total population age 14 and over) 17-23 Total Male Population Age 14 and over 24-28 No. Adult Males 2esocupados (unemployed) 29-33 No. Adult Males desocupados ~ oficio (without a trade, unskilled) Economic Characteristics of Electoral Districts Cols. 34 .. 37 No. Landholdings (~lotacione~) (ranch or farm) 38-44 No. Hectares in Use l~5-48 No. Tenant Farmers (arrendatorios) 49 .. 50 Predominant Rural Production - main product of area 01 - Cattle Feeding 02 - Cattle Breeding 03 - Sheep and Goats OL~ - Livestock Residual 05 - Corn 06 - Wheat 07 - Flax 08 - Cotton 09 - Fruit 10 - Vines 11 • Sugar Cane 15 - Cattle Feeding, Corn 16 - Cattle Feeding, Wheat 25 - Cattle Breeding, Corn 99 - Unknol-m 51-55 No. Commercial Establishments 56-61 Total No. Employees in Connnercial Establishments 62-66 No. Workers Employed (obreros, 2.eones, .x. apendices) (apprentice) in Commercial Establishments 67-72 Salaries and Wages (cash only; in thousands of pesos) 4 or 5 pesos= $1.00 DPIS • UW Smith, Raw Dataset Page 4 - Codebook

(SUPPLENENTARY DECKS) DECK 4 Land Tenure Data

Column entries contain the number of landholdings (e?ffilotaciones) in different size brackets, according to hectares:

Cols. 7-10 0•5 hectares 11-14 6-10 hectares 15-18 11•25 hectares 19-22 26-50 hectares 23-26 51-75 hectares 27-30 76-100 hectares 31-34 101•150 hectares 35-38 151-200 hectares 39-41 201-250 hectares 42-44 251-300 hectares 45-47 301-500 hectares 48-50 501-750 hectares 51-53 751-1000 hectares 54-56 1001-2000 hectares 57-59 2001-3000 hectares 60-61 3001-4000 hectares 62-63 4001-5000 hectares 64-65 5001-7500 hectares 66-67 7501-10,000 hectares 68-69 10,001-20,000 hectares 70-71 20,001-30,000 hectares 72-73 30,001-40,000 hectares 74-75 40,001-50,000 hectares 76-77 50,001-60,000 hectares 78-79 60,001-70,000 hectares

DECK 5 Land Tenure Data (cont.)

Coibs. 7-8 70,001-80,000 hectares 9-10 80,001-90,000 hectares 11-12 90,001-100,000 hectares 13-14 over 100,000 hectares 15-17 campo abierto - unfenced land, open range not cultivated or grazed 13-21 ~ determinar - ranches with undetermined size DPJ.S - UW Smith, Raw Dataset Page 5 - Codebook Industrial Activity ,(lndustria~ ~..Ei~S.E...~W Cols. 22-25 No. industrial establishments 26-29 No. en:q,leado_l:i., (total no. of all employees) blue and white collar 30-34 No. workers (obreros) within employees 35-40 Horsepower from ~~ primarios (hand or water driven) 41-46 Horsepower from corriente £2E!Orada - coimnercial generator purchased energy (bill with electric company) Horsepower!. corriente propria - own generator Annual sueld.2!!, zwarios (cash wages and salaries) E!.$~2!, ~ efectivo {inclve sumas pagadas !. traba­ .1!.

Urbanism Cols. 58-59 Level of Urbanization 01 - Greater Buenos Aires, consisting of all circum­ scripciones in the Capital Federal and 14 par­ tidos in the Province of Buenos Aires: Avel­ laneda, General San Hartin, Cuatro de Junio, Vicente Lopez, Lomas de Zamora, Quilmes, Moron, San Isidro, Matanza, San Fernando, Almirante Brown, Las Conchas, Esteban Echeverria, and Florencio Varela. Total population: 4,568,512 out of a national population of 15,893,827. 02 - partidos containing a city of 100,000 or more inhabitants 03 - largest city of 50,000-99,999 inhabitants 04 - largest city of 20,000-49,999 inhabitants 05 - largest city of 10,000-19,999 inhabitants 06 - largest city of 5,000-9,999 inhabitants 07 - largest city of 2,000-4,999 inhabitants 00 - no urban connnunity of 2000 or more inhabitants

Immigration Cols. 60-64 No. Male Immigrants from South America 65-69 No. Male Immigrants from Europe DPLS - T.JW Smith, Raw Dataset Page 6 - Codebook NUMERICAL CODE FOR PROVINCES AND PARTIDOS*

Province of Buenos Aires ••• 02 Adolfo Alsina ••• 002 General Rodriguez • •• 047 Alberdi ••• 003 General San Martin • •• 048 Almte. Brown ••• 004 General Samiento • •• 049 ••• 005 General Viamonte • •• 050 Ayacucho ••• 006 General Villegas • •• 051 Azul ••• 007 Genzale:c Chaves • •• 052 Bahia Blanca .. ·• 008 Guamini ••• 053 Balcarce ••• 009 Juarez • •• 054 Baradero ••• 010 Junin • •• 055 Bartolome Mitre ••• 011 • •• 056 Bolivar ••• 012 Laprida • •• 057 ••• 013 Las Conchas • •• 058 ••• 014 Las Flores • •• 059 Campana ••• 015 Las Heras • •• 060 Canuelas ••• 016 L. N. Alem ••• 061 Carlos Casares ••• 017 Lincoln • •• 062 Carlos Tejedor ••• 018 Loberia • •• 063 Carmen de Areco ••• 019 • •• 064 Casaros ••• 020 Lomas de Zamora ••• 065 Castelli ••• 0%1 Lujan • •• 066 Chacabuco .... 022 Magdalena • •• 067 Chascomus ••• 023 Maipu • •• 068 ••• 024 Mar Chiquita • •• 069 Colon ••• 025 ~1arcelino Ugarte Coronel Dorrego ••• 026 (also Salto) ••• 070 ••• 027 Marcos Paz ••• 071 Coronel Rosales ••• 028 Matanza ••• 072 Coronel Suarez ••• 029 Mercedes ••• 073 Cuartro de .Junio ••• 030 Merlo ••• 074 Dolores ••• 031 Monte ••• 075 Esteban Echeverria ••• 032 Moreno ••• 076 Exaltacion • • • 033 Navarro ••• 077 Florencio Varela ••• 034 ••• 078 General Alvarado ••• 035 Nueve de .Julio ••• 079 General Arenales ••• 036 Olavarria ••• 080 General Belgrano ••• 037 Patagones ••• 081 General Conesa Pehuajo ••• 082 (also Tordillo) ••• 03C Pellegrini ••• 083 ISnBeral Guido ••• 039 ••• 084 General J. F. Uriburu Pila ••• 085 (also Zarate) ••• 040 Pilar ••• 086 General Lamadrid ••• 041 Puan ••• 087 General Lavalle ••• 04~ Quilmes ••• 088 General Madariaga ••• 043 Ramallo ••• 089 General Paz ••• 044 Rauch • •• 090 General Rinto ••• 045 Rivadavia • •• 091 General Pueyrredon ••• 046 Rojas • •• 092

* ~- some Eartido (county) names are abbreviated DPIS - UW Smith, Raw Dataset Page 7 - Codebook Province of Buenos Aires (cont.)

Roque Perez ••• 093 General Roca 132 Saavedra • •• ••• 094 General San Martin • •• 133 Saladillo ••• 095 Ischilin .... 134 San Andres ••• 096 Juarez Celman • 135 San Antonio •• ••• 097 Marcos Juarez • •• 136 San Fernando ••• 098 Minas • •• 137 San Isidro ••• 099 Poche • •• 138 San Nicolas ••• 100 Punilla • •• 139 San Pedro ••• 101 Rio Cuarto • •• 140 San Vicente ••• 102 Rio Primero • •• 141 Seis de Septiembre Rio Seco ••• 142 (also Moron) ••• 103 Rio Segundo • •• 143 Suipacha ••• 104 Roque Saenz Pena • •• 144 ••• 105 San Uberto • •• 145 Tapalquen ••• 106 San Juvier ••• 146 Tornquist ••• 107 San Justo • •• 147 Trenque Leuguen ••• 108 Santa Maria • •• 148 ••• 109 Sobremente • •• 149 Veinticinco de 118.yo ••• 110 'J:ercero Arriba Vicente Lopez ••• 111 (or Gral Belgrano?) • •• 150 Villarino ••• 112 Totoral • •• 151 *General Alvear ••• 350 Tulumba • •• 152 Union ••• 153 Province of Catamarca ••• 03 Province of Corrientes ••• 05 Capital ••• 113 Capayan •••" 114 Capital • •• 154 La Paz ••• 115 Bella Vista ••• 155 Ancasti ••• 116 Beron de Estrada ••• 156 El Alto ••• 117 Concepcion ••• 157 Santa Rosa· ••• 118 Curuzu Cuatia ••• 158 Paclin ••• 119 Empedrado ••• 159 Valle Viejo ••• 120 Esquina ••• 160 Mamerto Esquiu ••• 121 General Paz ••• 161 Ambato ••• 122 Goya ••• 162 Poman ••• 123 Itati ••• 163 Andalgala ••• 124 Ituzaingo ••• 164 Belen ••• 125 Lavalle • •• 165 Tinogasta ••• 126 Mburu • •• 166 Santa Maria ••• 127 Mercedes • •• 167 Monte Caseros ••• 168 Paso de los Libres ••• 169 Province of Cordoba ••• 04 Saladas • •• 170 San Cosme ••• 171 Capital ••• 128 San Luis • •• 172 Calamuchita ••• 129 San Martin • •• 173 130 Colon ••• Dan Miguel • •• 174 Cruz del Eje ••• 131 San Roque • •• 175

*Note that General Alvear falls outside the numerical sequence, as data for this partido were incorporated after most of the coding had been finished. DPLS - UW Smith, Raw Dataset Page 8 - Codebook Province of Corrientes (cont.)

Santo Tome ••• 176 Famatina • •• 214 Sauce ••• 177 General Sarmiento • •• 215 Gobernador Gordillo ••• 216 Velez Sarsfield ••• 217 Province of Entre Rios ••• 06 General Belgrano • •• 218 Rivadavia ••• 219 Colon ••• 178 General Ocampo • •• 220 Concordia ••• 179 General Roca • •• 221 Diamante ••• 180 General San Martin ••• 222 Federacion ••• 181 Feliciano ••• 182 Gualeguay ••• 183 Province of Mendoza ••• 09 Guallilguaychu ••• 184 La Paz ••• 185 Capital ••• 223 Nogoya ••• 186 San Rafael ••• 224 Parana ••• 187 Guayma ••• 225 Tala ••• um Godoy Cruz ••• 226 Uruguay ••• 189 Maipu ••• 227 Victoria ••• 190 San Martin ••• 228 Villaguay ••• 191 Lujan ••• 229 Las Heras ••• 230 General Alvear ••• 231 Province of Jujuy ••• 07 Rivadavia • •• 232 Junin ••• 233 Capital ••• 192 Tunuyan • •• 234 San Antonio ••• 193 Lavalle • •• 235 El Carmen ••• 194 San Carlos • •• 236 San Pedro ••• 195 Tupungato • •• 237 Ledesma ••• 196 Santa Rosa • •• 238 Santa Barbara ••• 197 La 'Paz • •• 239 'Ealle Grande ••• 198 Tumbaya ••• 199 Tilcara ••• 200 Province of Salta • •• 10 Humahuaca ••• 201 Cochinoca ••• 202 Capital • •• 240 Rinconada ••• 203 Rosario de Lerma • •• 241 Santa Catalina ••• 204 La Caldera • •• 242 Yavi ••• 205 La Vina • •• 243 Sssques ••• 206 Guachipas • •• 244 Rosario de la Frontera ••• 245 Province of La Rioja ••• 08 Campo Santo • •• 246 Candelaria ••• 247 **Capital ••• 207 Cafayate • •• 248 Castro Barros ••• 208 Anta • •• 249 Arauco ••• 209 Oran • •• 250 Pelagio B. Luna ••• 210 Santa Victoria • •• 251 Chilecito ••• 211 San Carlos • •• 252 General Lavalle ••• 212 Metan • •• 253 General Lamadrid ••• fU3 Rivadavia • •• 254

** Includes Sanagasta and Independencia. DPLS • 'OW Smith, Raw Dataset Page 9 • Codebook

Province of Salta (cont.) Province of Sante Fe ••• 13 La Poma ••• 255 Belgrano • •• 293 Cachi ••• 256 Caseros 294 Molinos • •• ••• 257 Castellanos • •• 295 Iruya ••• 258 Constitucion 296 Cerrillos • •• ••• 259 Garay • •• 297 Chicoana ••• 260 General Obligado • •• 298 Los Andes ••• 261 General Lopez • •• 299 Iriondo ••• 300 Capital ••• 301 Province of San Juan ••• 11 Colonias • •• 302 Nueve de Julio ••• 303 Capital ••• 262 Rosario • •• 304 Santa Lucia ••• 263 San Cristobal • •• 305 Concepcion ••• 264 San Javier • •• 306 Desamparado ••• 265 San Jeronimo • •• 307 Trinidad ••• 266 San Justo • •• 308 Nueve de Julio ••• 267 San Lorenzo • •• 309 Angaco Sud San Martin ••• 310 (or San Martin1 ••• 268 Vera • •• 311 Angaco Norte (or Angaco) ••• 269 Albardon ••• 270 Province of Santiago del Rivadavia ••• 271 Estero • •• 14 Ullun ••• 272 Pocito ••• 273 Capital ••• 312 Sarmiento ••• 274 Avellaneda • •• 313 V.einticinco de Mayo ••• 275 Aguirre • •• 314 Caucete ••• 276 Alberdi ••• 315 Valle" Fertil ••• 277 Atamisqui • •• 316 Jachal ••• 278 Banda ••• 317 Iglesia ••• 279 Belgnano ••• 318 Calingasta ••• 280 Copo ••• 319 Choya ••• 320 Figueroa ••• 321 Province of San Luis ••• 12 Guasayan ••• 322 Jimenez ••• 323 Ayacucho ••• 281 Loreto ••• 324 Belgrano ••• 282 Matara ••• 325 Chacabuco ••• 283 Mitre ••• 326 Junin ••• 284 Manuel Moreno ••• 327 Pringles ••• 285 Ojo de Agua ••• 328 San Martin ••• 286 Pellegrini ••• 329 Capital ••• 287 Quebrachos • •• 330 Pedernera ••• 288 Rivadavia ••• 331 *'"'~* Robles ••• 332

***Numbers 289-292 have been deleted from the deck, since data for those entries have been integrated with data for Capital and Pedernera. r

DPIS • UW Smith, Raw Dataset Page 10 - Codebook

Province of Santiago del Estero (cont.) Capital Federal**** ••• 16 Rio Hondo ••• 333 la• Velez Sarsfield • •• 351 Silipica ••• 334 2a • San Cristobal Sud • •• 352 San Martin ••• 335 3a. Santa Lucia • •• 353 Salavina ••• 336 4a. San nu.an Sarmiento ••• 337 Evangelista • •• 354 Veintiocho de Marzo Sa. Flores • •• 355 (Taboada) ••• 338 6a • San Carlos Sud • •• 356 7a. San Carlos Norte • •• 357 8a. San Cristobal Province of Tucuman ••• 15 Norte • •• 358 9a. Balvanera Oeste ••• 359 Capital ••• 339 lOa. Balvanera Sud • •• 360 Famailla ••• 340 lla. Balvanera No~te • •• 361 Monteros ••• 341 12a. Concepcion • •• 362 Chicligasta ••• 342 13a. Monserrat • •• 363 Rio Chico ••• 343 14a. San Nicolas • •• 364 Graneros ••• 344 15a. San Bernardo • •• 365 Cruz Alta ••• 345 16a. Belgrano • •• 866 Burrucuya ••• 346 17a. Palermo de San Trancas ••• 347 Benito • •• 367 Tafi ••• 348 18a. Las Heras • •• 368 Leales ••• 349 19a • Pilar • •• 369 20a. Socorro ••• 370 (see page 7 for note on No. 350)

TOTAL OBSERVATIONS: 365

****The Capital Federal was formally divided into circunsctipciones rather than partidos. THE UNIVERSITY OF WISCONSIN Department of History

Peter H. Smith 1972

CODE FOR ARGENTIN~EL. L....QF 1946 AND.CENSUS OF 1947 (TRANSFORMEDDATASET}?

.•. ···->.. . ..• , ...,,,,,,,~ Preliminary Notes

1. Data compiled by Peter H. Smith, Department of History, University of Wisconsin, Madison; transformed with the assistance of David R. Olson.

2. No interpolation of decimal points is necessary in format statements; decimal points are punched on the data cards.

3. Missing data code is a full field of 9 1 s: e.g., 999999 (missing data code must have decimal points if they appear in the data field: e.g., 999.99).

4. For nmerical code to individual partidos and census units see separate memor andl.llll.

S. For further explanation of data and variables see Smith, "The Social Base of Peronism," Hispanic American Historical Review (February 1972).

ALL DECKS

Identification Cols. 1-3 County (partido) No. Range: 002-288, 293-370 4-5 Province No. 02 - Buenos Aires 03 - Catamarca 04 - C6rdoba 05 Corrientes 06 - Entre R!os 07 - Jujuy 08 - La Rioja 09 - Mendoza 10 - Salta 11 - San Juan 12 - San Luis 13 - Santa Fe 14 - Santiago del Estero 15 - Tucum~n 16 - Capital Federal (for circunscripciones) 6 Deck No. Range: 1-6 (Smith, ii)

DECK 1

Voter Participation

Cols. 7-12 Participation among Eligible Voters (votantes/inscritos, as%) 13-18 Voter Eligibility (inscritos/males_ 14 and over, as %) 19-24 Participation among Adult Males (votantes/ males 14 and over, as%) 25-30 Presidential Turnout (total presidential votes/inscritos, as%) 31-36 Gubernatorial Turnout (total gubernatorial votes/inscritos, as%)

Presidential Election Results Cols. 37-42 Per6n-Quijano Vote (as% of presidential total) 43-48 Mosca-Tamborini (%) 49-54 Partido Dem6crata Nacional (%) 55-60 Votes §1 blanco (%) 61--66 Local Radical Parties (%): U.C.R. Lencinista in Mendoza U.C.R. Bloquista in San Juan U.C.R. de Santiago del Estero 67-74 Total No. Presidential Votes

Gubernatorial Election Results* Cols. 75-80 Partido Salud Publica* (as% of guber­ natorial total)

DECK 2

Gubernatorial Results* (cont.) Cols. 7-12 Radical Party groups which participated in the Peronist presidential alliance but ran separate gubernatorial tickets (%): U.C.R.-Junta Renovadora in Catamarca and Corrientes U.C.R. Yrigoyenista in Jujuy and Tucum&n ·13-18 Partido Laborista y U.C.R.-Junta Renovadora (the basic Peronist force) (%) 19-24 U.C.R.-Comit~ Nacional (the basic anti- Peronist coalition) (%) 25-30 Partido Socialista (%) 31-36 Partido Dem6crata Nacional (%) 37-42 Votes~ blanco (%) 43-48 Partido Laborista (when opposed by Junta Renovadora or Yrigoyenistas) (%) *Results of National Deputy election used for the Capital Federal, since there was no gubernatorial campaign in the City of Buenos Aires. Parties marked with asterisks ran candidates only in the capital. (Smith iii)

Gubernatorial Results* (cont.) Cols. 49-54 Partido Communista (%) 55-60 Radical Party groups which consistently opposed·Per6n (%):

U.C.R. Antipersonalista in Corrientes (· U.C.R. Lencinista in Mendoza U.C.R. Bloquista in San Juan. u.c.R. de Santa Fe U.C.R. de Santiage del Estero 61-66 Partido Liberal (%) 67-72 Partido Dem6crata Nacional Aut6noma (%) 73-78 Concentraci6n Obrera* (%)

DECK 3

Gubernatorial Results* (cont.) Cols. 7-12 Partido Dem6crata Progesista (%) 13-18 Partido Laborista Tucmnano (%) 19-24 Unidad y Resistencia* (%) 25~30 Alianza Libertadora Nacionalista (%) 31-36 Partido Patri6tico 4 de Junie*(%) 37-42 Uni6n Centros Independientes* (%) 43:..50 Total No. Gubernatorial Votes

Social Characteristics of Electoral Districts Cols. 51-58 Total Population 59-63 Population Growth Rate 1914-47 (average annual increase per 1000 inhabitants) 64-69 Urban Population/Total Population, as% 70-72 Level of Urbanization 01. - Greater Buenos Aires, consisting of all circu.ttiscripciones in the Capital Federal and 14 partidos in the Province of Buenos Aires: Avellaneda, General San Mart!n, Cuatro de Junio, Vicente Lopez, Lomas de Zamora, Quilmes, Moron, San Isidro, Matanza, San Fernando, Almirante Brown, Las Conchas, Esteban Echeverr{a, and Florencio Varela. Total population: 4,568,512 - out of a national population of 15,893,827.

02. - partidos containing a city of 100,000 more inhabitants 03. - largest city of 50,000-99,999 inhabitants 04. - largest city of 20,000-49,999 inhabitants 05. - largest city of 10,000-19,999 inhabitants (Smith iv)

Social Characteristics (cont.)

06. - largest city of 5,000-9,999 inhabitants 07. - largest city of 2,000-4,999 inhabitants 08. - no urban community of 2000 or more inhabitants

73-78 No. Argentine-Born Men from Outside Province - or, in the case of Buenos Aires, from outside Capital Federal (as% of all males)

DECK 4

Social Characteristics of Electoral Districts (cont.)

Cols. 7-12 Foreign-Born Male Inhabitants (as% of all . males) 13-18 Immigrant Males from South America (as% of all males) 19-24 Immigrant Males from South America (as% of all immigrant males) 25-30 Immigrant Males from Europe (as% all males) 31-36 Immigrant Males from Europe (as% all im­ migrant males) 37-44 Total No. Males 45-49 Adult Illiteracy (as% of total population age 14 and over) 50-55 Unemployment Rate (among males 14 and over as%) 56-61 % Unemployed without Trade or Skill (sin oficio)

Economic Characteristics of Electoral Districts A. Agricultural Characteristics Cols. 62-70 Ave. No. Hectares per Landholding (explotaci6n) 71-76 Tenant Farmers (arrendatorios/explotaci6nes, as%)

DECK 5

Economic Characteristics of Electoral Districts (cont.) Cols. 7-12 Gini Index of Land Distribution 13-18 Minimal Majority 19-24 % explotaciones under 100 hectares 25-30 % explotaciones over 1000 hectares (Smith v)

Economic Characteristics (cont.) Cols. 31-33 Predominant Agricultural Product

01. Cattle Feeding 02. - Cattle Breeding 03. - Sheep and Goats 04. - Livestock Residual 05. - Corn 06. - Wheat 07. - Flax 08. Cotton 09. - Fruit 10. - Vines 11. Sugar Cane 15. - Cattle Feeding, Corn 16. - Cattle Feeding, Wheat 25. - Cattle Breeding, Corn 99. - Unknown

B. Commercial Characteristics Cols. 34-40 Ave. No. Employees per Commercial Establish­ ment 41-46 % Workers (obreros, peones, y apendices) among Commercial Employees 47-54 Ave. Wages per Connnercial Employee (cash only) ·

C. Industrial Characteristics Cols. 55-62 Ave. No. Employees per Industtial Establish­ ment 63-69 % Workers (obreros) among Industrial Employees 70-77 Ave. Wage per Industrial Employee

DECK 6

· D. General Cols. 7-12 The Working Class (working-class males in commercial and/or industrial occupations/ all males 14 and over, as%) 13-20 Commercial/industrial wage differential ' (average connnercial wage minus average industrial wage)

21-28 Average Industrial Horsepower per In­ dustrial Establishment 29-36 Average Industrial Horsepower per In­ dustrial Employee (Smith vi)

Economic Characteristics (cont.)

Cols. 37-42 Average Industrial Horsepower per Capita (for entire population) Note: 11 Indus.trial Horsepower" equals the sum of horsepower from motores primerios, corriente comprada, and a corriente propria as listed in the industrial census.

43-50 Absolute difference between average com­ mercial wage and average industrial wage (regardless of direction) Additional Social Characteristics 51-56 Adult literacy rate (100.0 - illiteracy rate)

57-62 Males age.20-29 as% of all males age 20 and over

63-68 Males age 30-39 as% of all males age 20 and over

69-74 Males age 40-49 as% of all males age 20 and over

75-80 Males age 50 and over as % of all males age 20 and over