import fileinput import os from os import path from os import listdir import sys import string import re from datetime import datetime from datetime import timedelta import time import math # for cosine similarity from collections import Counter # for frequency counts in cosine similarity # import jellyfish # for string comparisons # File listing import glob import random # Global variables global root_folder global common_folder global log_file global freq_folder global slash global crlf global debug global verbose global age_tolerance global tab_delimiter global indent global US_states global RE_US_state_codes global RE_US_state_names global RE_ages global state_name global state_code # 1940 codes global genders_1940 global ethnicities_1940 global birthplaces_1940 global state_fips_1940 # global counties_1940 global current_state_1940 global current_county_1940 global current_valueh_1940 global current_ownershp_1940 global US_counties global ICPSR_counties global county_fips global icpsr_fips global machine global user global sub_folder def alert(): os.system("osascript '/Users/miguel/Documents/Programming/AppleScript/Utilities/Alert.scpt'") def set_globals(): # Check which machine and user is running this # either laptop (development), Windows (debug at cambridge) or cluster (full-speed) global machine global user global slash global root_folder global common_folder # Miguel's mac laptop: os.name = "posix" and os.getenv("HOSTNAME") = "None" os_name = os.name os_host = os.getenv("HOSTNAME") if (os.name == "posix" and os_host == None): user = "miguel" machine = "laptop" slash = "/" root_folder = "/Volumes/morin research/(shadow)" log_folder = "/Volumes/morin research/dropbox" elif (os.name == "nt" and os_host == None): user = "miguel" machine = "desktop" slash = "\\" root_folder = "E:" log_folder = "N:\morin research\dropbox" # All UNCC hosts end in uncc.edu, but they may be vpr-c101, etc.. elif (os.name == "posix" and ("uncc.edu" in os_host)): user = "???" machine = "unc_cluster" root_folder = "/projects/ipums100" log_folder = "/projects/ipums100/logs" slash = "/" # Sub-folder that has the UMN-IPUMS data global sub_folder if (machine == "unc_cluster"): sub_folder = "raw_ipums_data" elif(machine == "laptop" or machine == "desktop"): sub_folder = "umnData" global debug debug = True global verbose verbose = True global crlf crlf = "\r\n" global indent indent = " " global tab_delimiter tab_delimiter = "|" global log_file try: log_file = log_folder + slash + "python_extractor" + str(ext_year) + "_" + str(ext_type) + "_log.txt" except: log_file = log_folder + slash + "python_extractor_log.txt" # Remove old log file if (path.exists(log_file)): os.remove(log_file) printout("Paths and globals defined") printout("root_folder = " + root_folder) set_1940_dictionaries() global US_states US_states = [["AL", "Alabama"], ["AK", "Alaska"], ["AZ", "Arizona"], ["AR", "Arkansas"], ["CA", "California"], ["CO", "Colorado"], ["CT", "Connecticut"], ["DE", "Delaware"], ["DC", "District of Columbia"], ["FL", "Florida"], ["GA", "Georgia"], ["HI", "Hawaii"], ["ID", "Idaho"], ["IL", "Illinois"], ["IN", "Indiana"], ["IA", "Iowa"], ["KS", "Kansas"], ["KY", "Kentucky"], ["LA", "Louisiana"], ["ME", "Maine"], ["MD", "Maryland"], ["MA", "Massachusetts"], ["MI", "Michigan"], ["MN", "Minnesota"], ["MS", "Mississippi"], ["MO", "Missouri"], ["MT", "Montana"], ["NE", "Nebraska"], ["NV", "Nevada"], ["NH", "New Hampshire"], ["NJ", "New Jersey"], ["NM", "New Mexico"], ["NY", "New York"], ["NC", "North Carolina"], ["ND", "North Dakota"], ["OH", "Ohio"], ["OK", "Oklahoma"], ["OR", "Oregon"], ["PA", "Pennsylvania"], ["RI", "Rhode Island"], ["SC", "South Carolina"], ["SD", "South Dakota"], ["TN", "Tennessee"], ["TX", "Texas"], ["UT", "Utah"], ["VT", "Vermont"], ["VA", "Virginia"], ["WA", "Washington"], ["WV", "West Virginia"], ["WI", "Wisconsin"], ["WY", "Wyoming"]] global ICPSR_counties ICPSR_counties = [ ["al_10", "1001"], ["al_30", "1003"], ["al_50", "1005"], ["al_70", "1007"], ["al_90", "1009"], ["al_110", "1011"], ["al_130", "1013"], ["al_170", "1017"], ["al_190", "1019"], ["al_230", "1023"], ["al_250", "1025"], ["al_270", "1027"], ["al_290", "1029"], ["al_310", "1031"], ["al_330", "1033"], ["al_350", "1035"], ["al_370", "1037"], ["al_390", "1039"], ["al_410", "1041"], ["al_430", "1043"], ["al_450", "1045"], ["al_470", "1047"], ["al_490", "1049"], ["al_490", "1049"], ["al_510", "1051"], ["al_530", "1053"], ["al_550", "1055"], ["al_570", "1057"], ["al_590", "1059"], ["al_610", "1061"], ["al_630", "1063"], ["al_650", "1065"], ["al_670", "1067"], ["al_690", "1069"], ["al_710", "1071"], ["al_730", "1073"], ["al_730", "1073"], ["al_770", "1077"], ["al_790", "1079"], ["al_810", "1081"], ["al_830", "1083"], ["al_850", "1085"], ["al_870", "1087"], ["al_890", "1089"], ["al_910", "1091"], ["al_930", "1093"], ["al_950", "1095"], ["al_970", "1097"], ["al_990", "1099"], ["al_1010", "1101"], ["al_1050", "1105"], ["al_1050", "1105"], ["al_1070", "1107"], ["al_1090", "1109"], ["al_1110", "1111"], ["al_1130", "1113"], ["al_1150", "1115"], ["al_1150", "1115"], ["al_1170", "1117"], ["al_1190", "1119"], ["al_1210", "1121"], ["al_1210", "1121"], ["al_1230", "1123"], ["al_1250", "1125"], ["al_1270", "1127"], ["al_1290", "1129"], ["al_1310", "1131"], ["az_10", "4001"], ["az_30", "4003"], ["az_50", "4005"], ["az_70", "4007"], ["az_90", "4009"], ["az_110", "4011"], ["az_130", "4013"], ["az_130", "4013"], ["az_150", "4015"], ["az_170", "4017"], ["az_190", "4019"], ["az_210", "4021"], ["az_230", "4023"], ["az_250", "4025"], ["az_270", "4027"], ["ar_10", "5001"], ["ar_30", "5003"], ["ar_50", "5005"], ["ar_70", "5007"], ["ar_90", "5009"], ["ar_110", "5011"], ["ar_130", "5013"], ["ar_150", "5015"], ["ar_170", "5017"], ["ar_170", "5017"], ["ar_190", "5019"], ["ar_210", "5021"], ["ar_230", "5023"], ["ar_270", "5027"], ["ar_290", "5029"], ["ar_310", "5031"], ["ar_330", "5033"], ["ar_350", "5035"], ["ar_370", "5037"], ["ar_390", "5039"], ["ar_410", "5041"], ["ar_430", "5043"], ["ar_450", "5045"], ["ar_470", "5047"], ["ar_490", "5049"], ["ar_510", "5051"], ["ar_530", "5053"], ["ar_550", "5055"], ["ar_570", "5057"], ["ar_590", "5059"], ["ar_590", "5059"], ["ar_610", "5061"], ["ar_630", "5063"], ["ar_650", "5065"], ["ar_670", "5067"], ["ar_690", "5069"], ["ar_710", "5071"], ["ar_730", "5073"], ["ar_750", "5075"], ["ar_770", "5077"], ["ar_790", "5079"], ["ar_810", "5081"], ["ar_830", "5083"], ["ar_850", "5085"], ["ar_870", "5087"], ["ar_890", "5089"], ["ar_910", "5091"], ["ar_930", "5093"], ["ar_950", "5095"], ["ar_970", "5097"], ["ar_990", "5099"], ["ar_1010", "5101"], ["ar_1030", "5103"], ["ar_1050", "5105"], ["ar_1070", "5107"], ["ar_1090", "5109"], ["ar_1110", "5111"], ["ar_1130", "5113"], ["ar_1150", "5115"], ["ar_1170", "5117"], ["ar_1190", "5119"], ["ar_1210", "5121"], ["ar_1230", "5123"], ["ar_1230", "5123"], ["ar_1250", "5125"], ["ar_1270", "5127"], ["ar_1290", "5129"], ["ar_1310", "5131"], ["ar_1330", "5133"], ["ar_1350", "5135"], ["ar_1370", "5137"], ["ar_1390", "5139"], ["ar_1410", "5141"], ["ar_1430", "5143"], ["ar_1450", "5145"], ["ar_1470", "5147"], ["ar_1490", "5149"], ["ca_10", "6001"], ["ca_30", "6003"], ["ca_50", "6005"], ["ca_70", "6007"], ["ca_90", "6009"], ["ca_110", "6011"], ["ca_130", "6013"], ["ca_150", "6015"], ["ca_170", "6017"], ["ca_190", "6019"], ["ca_210", "6021"], ["ca_230", "6023"], ["ca_250", "6025"], ["ca_270", "6027"], ["ca_290", "6029"], ["ca_310", "6031"], ["ca_330", "6033"], ["ca_350", "6035"], ["ca_370", "6037"], ["ca_370", "6037"], ["ca_390", "6039"], ["ca_410", "6041"], ["ca_430", "6043"], ["ca_450", "6045"], ["ca_470", "6047"], ["ca_490", "6049"], ["ca_510", "6051"], ["ca_530", "6053"], ["ca_550", "6055"], ["ca_570", "6057"], ["ca_590", "6059"], ["ca_590", "6059"], ["ca_610", "6061"], ["ca_630", "6063"], ["ca_650", "6065"], ["ca_650", "6065"], ["ca_670", "6067"], ["ca_690", "6069"], ["ca_710", "6071"], ["ca_710", "6071"], ["ca_730", "6073"], ["ca_730", "6073"], ["ca_750", "6075"], ["ca_750", "6075"], ["ca_770", "6077"], ["ca_790", "6079"], ["ca_810", "6081"], ["ca_810", "6081"], ["ca_830", "6083"], ["ca_850", "6085"], ["ca_870", "6087"], ["ca_890", "6089"], ["ca_910", "6091"], ["ca_930", "6093"], ["ca_950", "6095"], ["ca_970", "6097"], ["ca_990", "6099"], ["ca_1010", "6101"], ["ca_1030", "6103"], ["ca_1050", "6105"], ["ca_1070", "6107"], ["ca_1090", "6109"], ["ca_1110", "6111"], ["ca_1130", "6113"], ["ca_1150", "6115"], ["co_10", "8001"], ["co_30", "8003"], ["co_50", "8005"], ["co_70", "8007"], ["co_90", "8009"], ["co_110", "8011"], ["co_130", "8013"], ["co_150", "8015"], ["co_170", "8017"], ["co_190", "8019"], ["co_210", "8021"], ["co_230", "8023"], ["co_250", "8025"], ["co_270", "8027"], ["co_290", "8029"], ["co_310", "8031"], ["co_330", "8033"], ["co_350", "8035"], ["co_370", "8037"], ["co_390", "8039"], ["co_410", "8041"], ["co_410", "8041"], ["co_430", "8043"], ["co_450", "8045"], ["co_470", "8047"], ["co_490", "8049"], ["co_510", "8051"], ["co_530", "8053"], ["co_550", "8055"], ["co_570", "8057"], ["co_590", "8059"], ["co_610", "8061"], ["co_630", "8063"], ["co_650", "8065"], ["co_670", "8067"], ["co_690", "8069"], ["co_710", "8071"], ["co_710", "8071"], ["co_730", "8073"], ["co_750", "8075"], ["co_770", "8077"], ["co_790", "8079"], ["co_810", "8081"], ["co_830", "8083"], ["co_850", "8085"], ["co_870", "8087"], ["co_890", "8089"], ["co_910", "8091"], ["co_930", "8093"], ["co_950", "8095"], ["co_970", "8097"], ["co_990", "8099"], ["co_1010", "8101"], ["co_1030", "8103"], ["co_1050", "8105"], ["co_1070", "8107"], ["co_1090", "8109"], ["co_1110", "8111"], ["co_1130", "8113"], ["co_1150", "8115"], ["co_1170", "8117"], ["co_1190", "8119"], ["co_1210", "8121"], ["co_1230", "8123"], ["co_1250", "8125"], ["ct_10", "9001"], ["ct_30", "9003"], ["ct_50", "9005"], ["ct_70", "9007"], ["ct_90", "9009"], ["ct_110", "9011"], ["ct_130", "9013"], ["ct_150", "9015"], ["de_10", "10001"], ["de_30", "10003"], ["de_50", "10005"], ["dc_10", "11001"], ["dc_10", "11001"], ["fl_10", "12001"], ["fl_30", "12003"], ["fl_50", "12005"], ["fl_110", "12011"], ["fl_110", "12011"], ["fl_130", "12013"], ["fl_150", "12015"], ["fl_170", "12017"], ["fl_190", "12019"], ["fl_210", "12021"], ["fl_230", "12023"], ["fl_250", "12025"], ["fl_270", "12027"], ["fl_270", "12027"], ["fl_270", "12027"], ["fl_290", "12029"], ["fl_310", "12031"], ["fl_330", "12033"], ["fl_350", "12035"], ["fl_370", "12037"], ["fl_390", "12039"], ["fl_410", "12041"], ["fl_430", "12043"], ["fl_450", "12045"], ["fl_470", "12047"], ["fl_490", "12049"], ["fl_510", "12051"], ["fl_550", "12055"], ["fl_570", "12057"], ["fl_570", "12057"], ["fl_570", "12057"], ["fl_590", "12059"], ["fl_610", "12061"], ["fl_630", "12063"], ["fl_650", "12065"], ["fl_670", "12067"], ["fl_690", "12069"], ["fl_710", "12071"], ["fl_730", "12073"], ["fl_750", "12075"], ["fl_770", "12077"], ["fl_790", "12079"], ["fl_810", "12081"], ["fl_830", "12083"], ["fl_850", "12085"], ["fl_870", "12087"], ["fl_890", "12089"], ["fl_910", "12091"], ["fl_930", "12093"], ["fl_970", "12097"], ["fl_970", "12097"], ["fl_990", "12099"], ["fl_1010", "12101"], ["fl_1030", "12103"], ["fl_1050", "12105"], ["fl_1070", "12107"], ["fl_1090", "12109"], ["fl_1090", "12109"], ["fl_1110", "12111"], ["fl_1110", "12111"], ["fl_1130", "12113"], ["fl_1150", "12115"], ["fl_1170", "12117"], ["fl_1190", "12119"], ["fl_1210", "12121"], ["fl_1230", "12123"], ["fl_1250", "12125"], ["fl_1270", "12127"], ["fl_1290", "12129"], ["fl_1310", "12131"], ["fl_1330", "12133"], ["ga_10", "13001"], ["ga_30", "13003"], ["ga_50", "13005"], ["ga_70", "13007"], ["ga_90", "13009"], ["ga_110", "13011"], ["ga_130", "13013"], ["ga_170", "13017"], ["ga_190", "13019"], ["ga_210", "13021"], ["ga_230", "13023"], ["ga_230", "13023"], ["ga_250", "13025"], ["ga_270", "13027"], ["ga_290", "13029"], ["ga_310", "13031"], ["ga_330", "13033"], ["ga_350", "13035"], ["ga_370", "13037"], ["ga_390", "13039"], ["ga_410", "13041"], ["ga_430", "13043"], ["ga_450", "13045"], ["ga_470", "13047"], ["ga_490", "13049"], ["ga_510", "13051"], ["ga_530", "13053"], ["ga_550", "13055"], ["ga_570", "13057"], ["ga_590", "13059"], ["ga_590", "13059"], ["ga_610", "13061"], ["ga_630", "13063"], ["ga_650", "13065"], ["ga_670", "13067"], ["ga_690", "13069"], ["ga_710", "13071"], ["ga_730", "13073"], ["ga_750", "13075"], ["ga_770", "13077"], ["ga_790", "13079"], ["ga_810", "13081"], ["ga_830", "13083"], ["ga_850", "13085"], ["ga_870", "13087"], ["ga_890", "13089"], ["ga_890", "13089"], ["ga_910", "13091"], ["ga_930", "13093"], ["ga_950", "13095"], ["ga_950", "13095"], ["ga_970", "13097"], ["ga_990", "13099"], ["ga_1010", "13101"], ["ga_1030", "13103"], ["ga_1050", "13105"], ["ga_1070", "13107"], ["ga_1090", "13109"], ["ga_1110", "13111"], ["ga_1130", "13113"], ["ga_1150", "13115"], ["ga_1170", "13117"], ["ga_1190", "13119"], ["ga_1210", "13121"], ["ga_1230", "13123"], ["ga_1250", "13125"], ["ga_1270", "13127"], ["ga_1290", "13129"], ["ga_1310", "13131"], ["ga_1330", "13133"], ["ga_1350", "13135"], ["ga_1370", "13137"], ["ga_1390", "13139"], ["ga_1410", "13141"], ["ga_1430", "13143"], ["ga_1450", "13145"], ["ga_1470", "13147"], ["ga_1490", "13149"], ["ga_1510", "13151"], ["ga_1530", "13153"], ["ga_1550", "13155"], ["ga_1570", "13157"], ["ga_1590", "13159"], ["ga_1610", "13161"], ["ga_1630", "13163"], ["ga_1650", "13165"], ["ga_1670", "13167"], ["ga_1690", "13169"], ["ga_1710", "13171"], ["ga_1730", "13173"], ["ga_1750", "13175"], ["ga_1770", "13177"], ["ga_1790", "13179"], ["ga_1810", "13181"], ["ga_1830", "13183"], ["ga_1850", "13185"], ["ga_1870", "13187"], ["ga_1890", "13189"], ["ga_1910", "13191"], ["ga_1930", "13193"], ["ga_1950", "13195"], ["ga_1970", "13197"], ["ga_1990", "13199"], ["ga_1990", "13199"], ["ga_2010", "13201"], ["ga_2030", "13203"], ["ga_2050", "13205"], ["ga_2070", "13207"], ["ga_2090", "13209"], ["ga_2110", "13211"], ["ga_2130", "13213"], ["ga_2150", "13215"], ["ga_2170", "13217"], ["ga_2190", "13219"], ["ga_2210", "13221"], ["ga_2230", "13223"], ["ga_2250", "13225"], ["ga_2270", "13227"], ["ga_2290", "13229"], ["ga_2310", "13231"], ["ga_2330", "13233"], ["ga_2350", "13235"], ["ga_2370", "13237"], ["ga_2390", "13239"], ["ga_2410", "13241"], ["ga_2430", "13243"], ["ga_2450", "13245"], ["ga_2470", "13247"], ["ga_2490", "13249"], ["ga_2510", "13251"], ["ga_2530", "13253"], ["ga_2550", "13255"], ["ga_2550", "13255"], ["ga_2570", "13257"], ["ga_2570", "13257"], ["ga_2590", "13259"], ["ga_2610", "13261"], ["ga_2630", "13263"], ["ga_2650", "13265"], ["ga_2670", "13267"], ["ga_2670", "13267"], ["ga_2690", "13269"], ["ga_2710", "13271"], ["ga_2730", "13273"], ["ga_2750", "13275"], ["ga_2770", "13277"], ["ga_2790", "13279"], ["ga_2810", "13281"], ["ga_2830", "13283"], ["ga_2850", "13285"], ["ga_2870", "13287"], ["ga_2890", "13289"], ["ga_2910", "13291"], ["ga_2930", "13293"], ["ga_2950", "13295"], ["ga_2970", "13297"], ["ga_2990", "13299"], ["ga_3010", "13301"], ["ga_3030", "13303"], ["ga_3050", "13305"], ["ga_3070", "13307"], ["ga_3090", "13309"], ["ga_3110", "13311"], ["ga_3130", "13313"], ["ga_3150", "13315"], ["ga_3170", "13317"], ["ga_3190", "13319"], ["ga_3210", "13321"], ["hi_10", "15001"], ["hi_30", "15003"], ["hi_70", "15007"], ["hi_90", "15009"], ["id_10", "16001"], ["id_30", "16003"], ["id_50", "16005"], ["id_70", "16007"], ["id_90", "16009"], ["id_110", "16011"], ["id_130", "16013"], ["id_150", "16015"], ["id_170", "16017"], ["id_190", "16019"], ["id_210", "16021"], ["id_230", "16023"], ["id_250", "16025"], ["id_270", "16027"], ["id_270", "16027"], ["id_290", "16029"], ["id_310", "16031"], ["id_330", "16033"], ["id_350", "16035"], ["id_370", "16037"], ["id_390", "16039"], ["id_410", "16041"], ["id_430", "16043"], ["id_450", "16045"], ["id_470", "16047"], ["id_490", "16049"], ["id_510", "16051"], ["id_530", "16053"], ["id_550", "16055"], ["id_570", "16057"], ["id_590", "16059"], ["id_610", "16061"], ["id_630", "16063"], ["id_650", "16065"], ["id_670", "16067"], ["id_690", "16069"], ["id_710", "16071"], ["id_730", "16073"], ["id_750", "16075"], ["id_770", "16077"], ["id_790", "16079"], ["id_810", "16081"], ["id_830", "16083"], ["id_830", "16083"], ["id_850", "16085"], ["id_870", "16087"], ["il_10", "17001"], ["il_30", "17003"], ["il_50", "17005"], ["il_70", "17007"], ["il_90", "17009"], ["il_110", "17011"], ["il_130", "17013"], ["il_150", "17015"], ["il_170", "17017"], ["il_190", "17019"], ["il_190", "17019"], ["il_210", "17021"], ["il_230", "17023"], ["il_250", "17025"], ["il_270", "17027"], ["il_290", "17029"], ["il_310", "17031"], ["il_310", "17031"], ["il_330", "17033"], ["il_350", "17035"], ["il_370", "17037"], ["il_370", "17037"], ["il_390", "17039"], ["il_390", "17039"], ["il_410", "17041"], ["il_430", "17043"], ["il_430", "17043"], ["il_450", "17045"], ["il_470", "17047"], ["il_490", "17049"], ["il_510", "17051"], ["il_530", "17053"], ["il_550", "17055"], ["il_570", "17057"], ["il_590", "17059"], ["il_610", "17061"], ["il_630", "17063"], ["il_650", "17065"], ["il_670", "17067"], ["il_690", "17069"], ["il_710", "17071"], ["il_730", "17073"], ["il_750", "17075"], ["il_770", "17077"], ["il_790", "17079"], ["il_810", "17081"], ["il_830", "17083"], ["il_850", "17085"], ["il_870", "17087"], ["il_890", "17089"], ["il_910", "17091"], ["il_930", "17093"], ["il_950", "17095"], ["il_970", "17097"], ["il_990", "17099"], ["il_990", "17099"], ["il_1010", "17101"], ["il_1030", "17103"], ["il_1050", "17105"], ["il_1070", "17107"], ["il_1090", "17109"], ["il_1110", "17111"], ["il_1130", "17113"], ["il_1130", "17113"], ["il_1150", "17115"], ["il_1170", "17117"], ["il_1190", "17119"], ["il_1210", "17121"], ["il_1230", "17123"], ["il_1250", "17125"], ["il_1270", "17127"], ["il_1290", "17129"], ["il_1310", "17131"], ["il_1330", "17133"], ["il_1350", "17135"], ["il_1370", "17137"], ["il_1390", "17139"], ["il_1410", "17141"], ["il_1430", "17143"], ["il_1450", "17145"], ["il_1470", "17147"], ["il_1490", "17149"], ["il_1510", "17151"], ["il_1530", "17153"], ["il_1550", "17155"], ["il_1570", "17157"], ["il_1590", "17159"], ["il_1610", "17161"], ["il_1630", "17163"], ["il_1630", "17163"], ["il_1630", "17163"], ["il_1650", "17165"], ["il_1670", "17167"], ["il_1690", "17169"], ["il_1710", "17171"], ["il_1730", "17173"], ["il_1750", "17175"], ["il_1770", "17177"], ["il_1770", "17177"], ["il_1790", "17179"], ["il_1810", "17181"], ["il_1830", "17183"], ["il_1850", "17185"], ["il_1870", "17187"], ["il_1890", "17189"], ["il_1910", "17191"], ["il_1930", "17193"], ["il_1950", "17195"], ["il_1950", "17195"], ["il_1970", "17197"], ["il_1990", "17199"], ["il_2010", "17201"], ["il_2010", "17201"], ["il_2030", "17203"], ["in_10", "18001"], ["in_30", "18003"], ["in_50", "18005"], ["in_50", "18005"], ["in_50", "18005"], ["in_70", "18007"], ["in_90", "18009"], ["in_110", "18011"], ["in_130", "18013"], ["in_150", "18015"], ["in_170", "18017"], ["in_190", "18019"], 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["tx_4310", "48431"], ["tx_4330", "48433"], ["tx_4350", "48435"], ["tx_4370", "48437"], ["tx_4390", "48439"], ["tx_4410", "48441"], ["tx_4430", "48443"], ["tx_4450", "48445"], ["tx_4470", "48447"], ["tx_4490", "48449"], ["tx_4510", "48451"], ["tx_4530", "48453"], ["tx_4550", "48455"], ["tx_4570", "48457"], ["tx_4590", "48459"], ["tx_4610", "48461"], ["tx_4630", "48463"], ["tx_4650", "48465"], ["tx_4670", "48467"], ["tx_4690", "48469"], ["tx_4710", "48471"], ["tx_4730", "48473"], ["tx_4750", "48475"], ["tx_4770", "48477"], ["tx_4790", "48479"], ["tx_4810", "48481"], ["tx_4830", "48483"], ["tx_4850", "48485"], ["tx_4870", "48487"], ["tx_4890", "48489"], ["tx_4910", "48491"], ["tx_4930", "48493"], ["tx_4950", "48495"], ["tx_4970", "48497"], ["tx_4990", "48499"], ["tx_5010", "48501"], ["tx_5030", "48503"], ["tx_5050", "48505"], ["ut_10", "49001"], ["ut_30", "49003"], ["ut_50", "49005"], ["ut_50", "49005"], ["ut_70", "49007"], ["ut_90", "49009"], ["ut_110", "49011"], ["ut_130", "49013"], ["ut_150", "49015"], ["ut_170", "49017"], ["ut_190", "49019"], ["ut_210", "49021"], ["ut_230", "49023"], ["ut_250", "49025"], ["ut_270", "49027"], ["ut_290", "49029"], ["ut_310", "49031"], ["ut_330", "49033"], ["ut_350", "49035"], ["ut_370", "49037"], ["ut_390", "49039"], ["ut_410", "49041"], ["ut_430", "49043"], ["ut_450", "49045"], ["ut_470", "49047"], ["ut_490", "49049"], ["ut_510", "49051"], ["ut_530", "49053"], ["ut_550", "49055"], ["ut_570", "49057"], ["vt_10", "50001"], ["vt_30", "50003"], ["vt_50", "50005"], ["vt_70", "50007"], ["vt_90", "50009"], ["vt_110", "50011"], ["vt_130", "50013"], ["vt_150", "50015"], ["vt_170", "50017"], ["vt_190", "50019"], ["vt_210", "50021"], ["vt_230", "50023"], ["vt_250", "50025"], ["vt_270", "50027"], ["va_10", "51001"], ["va_10", "51001"], ["va_30", "51003"], ["va_50", "51005"], ["va_50", "51005"], ["va_50", "51005"], ["va_70", "51007"], ["va_90", "51009"], ["va_110", "51011"], ["va_150", "51015"], ["va_150", "51015"], ["va_170", "51017"], ["va_190", "51019"], ["va_210", "51021"], ["va_230", "51023"], ["va_250", "51025"], ["va_270", "51027"], ["va_290", "51029"], ["va_310", "51031"], ["va_330", "51033"], ["va_350", "51035"], ["va_360", "51036"], ["va_370", "51037"], ["va_410", "51041"], ["va_430", "51043"], ["va_450", "51045"], ["va_470", "51047"], ["va_490", "51049"], ["va_510", "51051"], ["va_530", "51053"], ["va_550", "51055"], ["va_550", "51055"], ["va_570", "51057"], ["va_590", "51059"], ["va_590", "51059"], ["va_610", "51061"], ["va_630", "51063"], ["va_650", "51065"], ["va_670", "51067"], ["va_690", "51069"], ["va_710", "51071"], ["va_730", "51073"], ["va_750", "51075"], ["va_770", "51077"], ["va_790", "51079"], ["va_810", "51081"], ["va_830", "51083"], ["va_850", "51085"], ["va_870", "51087"], ["va_890", "51089"], ["va_910", "51091"], ["va_930", "51093"], ["va_950", "51095"], ["va_970", "51097"], ["va_990", "51099"], ["va_1010", "51101"], ["va_1030", "51103"], ["va_1050", "51105"], ["va_1070", "51107"], ["va_1070", "51107"], ["va_1090", "51109"], ["va_1110", "51111"], ["va_1130", "51113"], ["va_1150", "51115"], ["va_1150", "51115"], ["va_1150", "51115"], ["va_1170", "51117"], ["va_1190", "51119"], ["va_1210", "51121"], ["va_1230", "51123"], ["va_1230", "51123"], ["va_1250", "51125"], ["va_1270", "51127"], ["va_1290", "51129"], ["va_1310", "51131"], ["va_1330", "51133"], ["va_1350", "51135"], ["va_1370", "51137"], ["va_1390", "51139"], ["va_1410", "51141"], ["va_1430", "51143"], ["va_1450", "51145"], ["va_1470", "51147"], ["va_1490", "51149"], ["va_1490", "51149"], ["va_1510", "51151"], ["va_1530", "51153"], ["va_1550", "51155"], ["va_1570", "51157"], ["va_1590", "51159"], ["va_1610", "51161"], ["va_1630", "51163"], ["va_1650", "51165"], ["va_1670", "51167"], ["va_1690", "51169"], ["va_1710", "51171"], ["va_1730", "51173"], ["va_1750", "51175"], ["va_1770", "51177"], ["va_1790", "51179"], ["va_1810", "51181"], ["va_1830", "51183"], ["va_1850", "51185"], ["va_1870", "51187"], ["va_1875", "51189"], ["va_1875", "51189"], ["va_1910", "51191"], ["va_1930", "51193"], ["va_1930", "51193"], ["va_1950", "51195"], ["va_1970", "51197"], ["va_1990", "51199"], ["va_5100", "51510"], ["va_5100", "51510"], ["va_5100", "51510"], ["va_6500", "51650"], ["va_6500", "51650"], ["va_6500", "51650"], ["va_7100", "51710"], ["va_7100", "51710"], ["va_7500", "51750"], ["va_7500", "51750"], ["va_7500", "51750"], ["va_7600", "51760"], ["va_7600", "51760"], ["va_7700", "51770"], ["va_7700", "51770"], ["va_8300", "51830"], ["va_8300", "51830"], ["wa_10", "53001"], ["wa_30", "53003"], ["wa_50", "53005"], ["wa_70", "53007"], ["wa_90", "53009"], ["wa_110", "53011"], ["wa_130", "53013"], ["wa_150", "53015"], ["wa_170", "53017"], ["wa_190", "53019"], ["wa_210", "53021"], ["wa_230", "53023"], ["wa_250", "53025"], ["wa_290", "53029"], ["wa_310", "53031"], ["wa_330", "53033"], ["wa_350", "53035"], ["wa_370", "53037"], ["wa_390", "53039"], ["wa_390", "53039"], ["wa_410", "53041"], ["wa_430", "53043"], ["wa_450", "53045"], ["wa_470", "53047"], ["wa_490", "53049"], ["wa_510", "53051"], ["wa_530", "53053"], ["wa_550", "53055"], ["wa_570", "53057"], ["wa_590", "53059"], ["wa_610", "53061"], ["wa_630", "53063"], ["wa_650", "53065"], ["wa_670", "53067"], ["wa_690", "53069"], ["wa_710", "53071"], ["wa_730", "53073"], ["wa_750", "53075"], ["wa_770", "53077"], ["wv_10", "54001"], ["wv_30", "54003"], ["wv_30", "54003"], ["wv_50", "54005"], ["wv_70", "54007"], ["wv_90", "54009"], ["wv_110", "54011"], ["wv_130", "54013"], ["wv_150", "54015"], ["wv_170", "54017"], ["wv_190", "54019"], ["wv_210", "54021"], ["wv_230", "54023"], ["wv_250", "54025"], ["wv_270", "54027"], ["wv_290", "54029"], ["wv_310", "54031"], ["wv_330", "54033"], ["wv_350", "54035"], ["wv_370", "54037"], ["wv_390", "54039"], ["wv_410", "54041"], ["wv_430", "54043"], ["wv_450", "54045"], ["wv_470", "54047"], ["wv_490", "54049"], ["wv_510", "54051"], ["wv_530", "54053"], ["wv_550", "54055"], ["wv_570", "54057"], ["wv_590", "54059"], ["wv_610", "54061"], ["wv_610", "54061"], ["wv_630", "54063"], ["wv_650", "54065"], ["wv_670", "54067"], ["wv_690", "54069"], ["wv_710", "54071"], ["wv_730", "54073"], ["wv_750", "54075"], ["wv_770", "54077"], ["wv_790", "54079"], ["wv_810", "54081"], ["wv_830", "54083"], ["wv_850", "54085"], ["wv_870", "54087"], ["wv_890", "54089"], ["wv_910", "54091"], ["wv_930", "54093"], ["wv_950", "54095"], ["wv_970", "54097"], ["wv_990", "54099"], ["wv_1010", "54101"], ["wv_1030", "54103"], ["wv_1050", "54105"], ["wv_1070", "54107"], ["wv_1090", "54109"], ["wi_10", "55001"], ["wi_30", "55003"], ["wi_90", "55009"], ["wi_110", "55011"], ["wi_130", "55013"], ["wi_150", "55015"], ["wi_170", "55017"], ["wi_190", "55019"], ["wi_210", "55021"], ["wi_230", "55023"], ["wi_250", "55025"], ["wi_270", "55027"], ["wi_290", "55029"], ["wi_310", "55031"], ["wi_330", "55033"], ["wi_350", "55035"], ["wi_370", "55037"], ["wi_390", "55039"], ["wi_390", "55039"], ["wi_390", "55039"], ["wi_410", "55041"], ["wi_430", "55043"], ["wi_450", "55045"], ["wi_470", "55047"], ["wi_490", "55049"], ["wi_510", "55051"], ["wi_530", "55053"], ["wi_550", "55055"], ["wi_570", "55057"], ["wi_590", "55059"], ["wi_610", "55061"], ["wi_630", "55063"], ["wi_630", "55063"], ["wi_650", "55065"], ["wi_670", "55067"], ["wi_690", "55069"], ["wi_710", "55071"], ["wi_730", "55073"], ["wi_750", "55075"], ["wi_770", "55077"], ["wi_790", "55079"], ["wi_790", "55079"], ["wi_810", "55081"], ["wi_830", "55083"], ["wi_850", "55085"], ["wi_870", "55087"], ["wi_890", "55089"], ["wi_910", "55091"], ["wi_930", "55093"], ["wi_950", "55095"], ["wi_970", "55097"], ["wi_990", "55099"], ["wi_1010", "55101"], ["wi_1030", "55103"], ["wi_1050", "55105"], ["wi_1070", "55107"], ["wi_1090", "55109"], ["wi_1090", "55109"], ["wi_1110", "55111"], ["wi_1130", "55113"], ["wi_1150", "55115"], ["wi_1170", "55117"], ["wi_1190", "55119"], ["wi_1210", "55121"], ["wi_1250", "55125"], ["wi_1270", "55127"], ["wi_1290", "55129"], ["wi_1310", "55131"], ["wi_1330", "55133"], ["wi_1350", "55135"], ["wi_1370", "55137"], ["wi_1390", "55139"], ["wi_1410", "55141"], ["wy_10", "56001"], ["wy_30", "56003"], ["wy_50", "56005"], ["wy_70", "56007"], ["wy_90", "56009"], ["wy_110", "56011"], ["wy_130", "56013"], ["wy_150", "56015"], ["wy_170", "56017"], ["wy_190", "56019"], ["wy_210", "56021"], ["wy_230", "56023"], ["wy_250", "56025"], ["wy_270", "56027"], ["wy_290", "56029"], ["wy_310", "56031"], ["wy_330", "56033"], ["wy_350", "56035"], ["wy_370", "56037"], ["wy_390", "56039"], ["wy_410", "56041"], ["wy_430", "56043"], ["wy_450", "56045"], ] global US_counties # output from Stata code "setup counties" and AppleScript into a dictionary US_counties = [ ["al_autauga", "1001"], ["al_baldwin", "1003"], ["al_barbour", "1005"], ["al_bibb", "1007"], ["al_blount", "1009"], ["al_bullock", "1011"], ["al_butler", "1013"], ["al_chambers", "1017"], ["al_cherokee", "1019"], ["al_choctaw", "1023"], ["al_clarke", "1025"], ["al_clay", "1027"], ["al_cleburne", "1029"], ["al_coffee", "1031"], ["al_colbert", "1033"], ["al_conecuh", "1035"], ["al_coosa", "1037"], ["al_covington", "1039"], ["al_crenshaw", "1041"], ["al_cullman", "1043"], ["al_dale", "1045"], ["al_dallas", "1047"], ["al_de kalb", "1049"], ["al_dekalb", "1049"], ["al_elmore", "1051"], ["al_escambia", "1053"], ["al_etowah", "1055"], ["al_fayette", "1057"], ["al_franklin", "1059"], ["al_geneva", "1061"], ["al_greene", "1063"], ["al_hale", "1065"], ["al_henry", "1067"], ["al_houston", "1069"], ["al_jackson", "1071"], ["al_jefferson", "1073"], ["al_jafferson", "1073"], ["al_lauderdale", "1077"], ["al_lawrence", "1079"], ["al_lee", "1081"], ["al_limestone", "1083"], ["al_lowndes", "1085"], ["al_macon", "1087"], ["al_madison", "1089"], ["al_marengo", "1091"], ["al_marion", "1093"], ["al_marshall", "1095"], ["al_mobile", "1097"], ["al_monroe", "1099"], ["al_montgomery", "1101"], ["al_perry", "1105"], ["al_parry", "1105"], ["al_pickens", "1107"], ["al_pike", "1109"], ["al_randolph", "1111"], ["al_russell", "1113"], ["al_st clair", "1115"], ["al_st. clair", "1115"], ["al_shelby", "1117"], ["al_sumter", "1119"], ["al_talladega", "1121"], ["al_talledega", "1121"], ["al_tallapoosa", "1123"], ["al_tuscaloosa", "1125"], ["al_walker", "1127"], ["al_washington", "1129"], ["al_wilcox", "1131"], ["az_apache", "4001"], ["az_cochise", "4003"], ["az_coconino", "4005"], ["az_gila", "4007"], ["az_graham", "4009"], ["az_greenlee", "4011"], ["az_maricopa", "4013"], ["az_mericopa", "4013"], ["az_mohave", "4015"], ["az_navajo", "4017"], ["az_pima", "4019"], ["az_pinal", "4021"], ["az_santa cruz", "4023"], ["az_yavapai", "4025"], ["az_yuma", "4027"], ["ar_arkansas", "5001"], ["ar_ashley", "5003"], ["ar_baxter", "5005"], ["ar_benton", "5007"], ["ar_boone", "5009"], ["ar_bradley", "5011"], ["ar_calhoun", "5013"], ["ar_carroll", "5015"], ["ar_chicot", "5017"], ["ar_chico", "5017"], ["ar_clark", "5019"], ["ar_clay", "5021"], ["ar_cleburne", "5023"], ["ar_columbia", "5027"], ["ar_conway", "5029"], ["ar_craighead", "5031"], ["ar_crawford", "5033"], ["ar_crittenden", "5035"], ["ar_cross", "5037"], ["ar_dallas", "5039"], ["ar_desha", "5041"], ["ar_drew", "5043"], ["ar_faulkner", "5045"], ["ar_franklin", "5047"], ["ar_fulton", "5049"], ["ar_garland", "5051"], ["ar_grant", "5053"], ["ar_greene", "5055"], ["ar_hempstead", "5057"], ["ar_hot spring", "5059"], ["ar_hot springs", "5059"], ["ar_howard", "5061"], ["ar_independence", "5063"], ["ar_izard", "5065"], ["ar_jackson", "5067"], ["ar_jefferson", "5069"], ["ar_johnson", "5071"], ["ar_lafayette", "5073"], ["ar_lawrence", "5075"], ["ar_lee", "5077"], ["ar_lincoln", "5079"], ["ar_little river", "5081"], ["ar_logan", "5083"], ["ar_lonoke", "5085"], ["ar_madison", "5087"], ["ar_marion", "5089"], ["ar_miller", "5091"], ["ar_mississippi", "5093"], ["ar_monroe", "5095"], ["ar_montgomery", "5097"], ["ar_nevada", "5099"], ["ar_newton", "5101"], ["ar_ouachita", "5103"], ["ar_perry", "5105"], ["ar_phillips", "5107"], ["ar_pike", "5109"], ["ar_poinsett", "5111"], ["ar_polk", "5113"], ["ar_pope", "5115"], ["ar_prairie", "5117"], ["ar_pulaski", "5119"], ["ar_randolph", "5121"], ["ar_st francis", "5123"], ["ar_st. francis", "5123"], ["ar_saline", "5125"], ["ar_scott", "5127"], ["ar_searcy", "5129"], ["ar_sebastian", "5131"], ["ar_sevier", "5133"], ["ar_sharp", "5135"], ["ar_stone", "5137"], ["ar_union", "5139"], ["ar_van buren", "5141"], ["ar_washington", "5143"], ["ar_white", "5145"], ["ar_woodruff", "5147"], ["ar_yell", "5149"], ["ca_alameda", "6001"], ["ca_alpine", "6003"], ["ca_amador", "6005"], ["ca_butte", "6007"], ["ca_calaveras", "6009"], ["ca_colusa", "6011"], ["ca_contra costa", "6013"], ["ca_del norte", "6015"], ["ca_el dorado", "6017"], ["ca_fresno", "6019"], ["ca_glenn", "6021"], ["ca_humboldt", "6023"], ["ca_imperial", "6025"], ["ca_inyo", "6027"], ["ca_kern", "6029"], ["ca_kings", "6031"], ["ca_lake", "6033"], ["ca_lassen", "6035"], ["ca_los angeles", "6037"], ["ca_los-angeles", "6037"], ["ca_madera", "6039"], ["ca_marin", "6041"], ["ca_mariposa", "6043"], ["ca_mendocino", "6045"], ["ca_merced", "6047"], ["ca_modoc", "6049"], ["ca_mono", "6051"], ["ca_monterey", "6053"], ["ca_napa", "6055"], ["ca_nevada", "6057"], ["ca_orange", "6059"], ["ca_orenge", "6059"], ["ca_placer", "6061"], ["ca_plumas", "6063"], ["ca_riverside", "6065"], ["ca_reverside", "6065"], ["ca_sacramento", "6067"], ["ca_san benito", "6069"], ["ca_san bernardino", "6071"], ["ca_san bdino", "6071"], ["ca_san diego", "6073"], ["ca_sandiega", "6073"], ["ca_san francisco", "6075"], ["ca_san frencisco", "6075"], ["ca_san joaquin", "6077"], ["ca_san luis obispo", "6079"], ["ca_san mateo", "6081"], ["ca_san matio", "6081"], ["ca_santa barbara", "6083"], ["ca_santa clara", "6085"], ["ca_santa cruz", "6087"], ["ca_shasta", "6089"], ["ca_sierra", "6091"], ["ca_siskiyou", "6093"], ["ca_solano", "6095"], ["ca_sonoma", "6097"], ["ca_stanislaus", "6099"], ["ca_sutter", "6101"], ["ca_tehama", "6103"], ["ca_trinity", "6105"], ["ca_tulare", "6107"], ["ca_tuolumne", "6109"], ["ca_ventura", "6111"], ["ca_yolo", "6113"], ["ca_yuba", "6115"], ["co_adams", "8001"], ["co_alamosa", "8003"], ["co_arapahoe", "8005"], ["co_archuleta", "8007"], ["co_baca", "8009"], ["co_bent", "8011"], ["co_boulder", "8013"], ["co_chaffee", "8015"], ["co_cheyenne", "8017"], ["co_clear creek", "8019"], ["co_conejos", "8021"], ["co_costilla", "8023"], ["co_crowley", "8025"], ["co_custer", "8027"], ["co_delta", "8029"], ["co_denver", "8031"], ["co_dolores", "8033"], ["co_douglas", "8035"], ["co_eagle", "8037"], ["co_elbert", "8039"], ["co_el paso", "8041"], ["co_elpaso", "8041"], ["co_fremont", "8043"], ["co_garfield", "8045"], ["co_gilpin", "8047"], ["co_grand", "8049"], ["co_gunnison", "8051"], ["co_hinsdale", "8053"], ["co_huerfano", "8055"], ["co_jackson", "8057"], ["co_jefferson", "8059"], ["co_kiowa", "8061"], ["co_kit carson", "8063"], ["co_lake", "8065"], ["co_la plata", "8067"], ["co_larimer", "8069"], ["co_las animas", "8071"], ["co_los animas", "8071"], ["co_lincoln", "8073"], ["co_logan", "8075"], ["co_mesa", "8077"], ["co_mineral", "8079"], ["co_moffat", "8081"], ["co_montezuma", "8083"], ["co_montrose", "8085"], ["co_morgan", "8087"], ["co_otero", "8089"], ["co_ouray", "8091"], ["co_park", "8093"], ["co_phillips", "8095"], ["co_pitkin", "8097"], ["co_prowers", "8099"], ["co_pueblo", "8101"], ["co_rio blanco", "8103"], ["co_rio grande", "8105"], ["co_routt", "8107"], ["co_saguache", "8109"], ["co_san juan", "8111"], ["co_san miguel", "8113"], ["co_sedgwick", "8115"], ["co_summit", "8117"], ["co_teller", "8119"], ["co_washington", "8121"], ["co_weld", "8123"], ["co_yuma", "8125"], ["ct_fairfield", "9001"], ["ct_hartford", "9003"], ["ct_litchfield", "9005"], ["ct_middlesex", "9007"], ["ct_new haven", "9009"], ["ct_new london", "9011"], ["ct_tolland", "9013"], ["ct_windham", "9015"], ["de_kent", "10001"], ["de_new castle", "10003"], ["de_sussex", "10005"], ["dc_district of columbia", "11001"], ["dc_washington", "11001"], ["fl_alachua", "12001"], ["fl_baker", "12003"], ["fl_bay", "12005"], ["fl_broward", "12011"], ["fl_bronard", "12011"], ["fl_calhoun", "12013"], ["fl_charlotte", "12015"], ["fl_citrus", "12017"], ["fl_clay", "12019"], ["fl_collier", "12021"], ["fl_columbia", "12023"], ["fl_dade", "12025"], ["fl_de soto", "12027"], ["fl_desoto", "12027"], ["fl_de sota", "12027"], ["fl_dixie", "12029"], ["fl_duval", "12031"], ["fl_escambia", "12033"], ["fl_flagler", "12035"], ["fl_franklin", "12037"], ["fl_gadsden", "12039"], ["fl_gilchrist", "12041"], ["fl_glades", "12043"], ["fl_gulf", "12045"], ["fl_hamilton", "12047"], ["fl_hardee", "12049"], ["fl_hendry", "12051"], ["fl_highlands", "12055"], ["fl_hillsborough", "12057"], ["fl_hillsboro", "12057"], ["fl_hillsboro.", "12057"], ["fl_holmes", "12059"], ["fl_indian river", "12061"], ["fl_jackson", "12063"], ["fl_jefferson", "12065"], ["fl_lafayette", "12067"], ["fl_lake", "12069"], 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["ms_monroe", "28095"], ["ms_montgomery", "28097"], ["ms_neshoba", "28099"], ["ms_newton", "28101"], ["ms_noxubee", "28103"], ["ms_oktibbeha", "28105"], ["ms_panola", "28107"], ["ms_pearl river", "28109"], ["ms_perry", "28111"], ["ms_pike", "28113"], ["ms_pontotoc", "28115"], ["ms_prentiss", "28117"], ["ms_quitman", "28119"], ["ms_rankin", "28121"], ["ms_scott", "28123"], ["ms_sharkey", "28125"], ["ms_simpson", "28127"], ["ms_smith", "28129"], ["ms_stone", "28131"], ["ms_sunflower", "28133"], ["ms_tallahatchie", "28135"], ["ms_tate", "28137"], ["ms_tippah", "28139"], ["ms_tishomingo", "28141"], ["ms_tunica", "28143"], ["ms_union", "28145"], ["ms_walthall", "28147"], ["ms_warren", "28149"], ["ms_washington", "28151"], ["ms_wayne", "28153"], ["ms_webster", "28155"], ["ms_wilkinson", "28157"], ["ms_winston", "28159"], ["ms_yalobusha", "28161"], ["ms_yazoo", "28163"], ["mo_adair", "29001"], ["mo_andrew", "29003"], ["mo_atchison", "29005"], ["mo_audrain", "29007"], ["mo_andrain", "29007"], 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["or_lake", "41037"], ["or_lane", "41039"], ["or_lincoln", "41041"], ["or_linn", "41043"], ["or_malheur", "41045"], ["or_marion", "41047"], ["or_morrow", "41049"], ["or_multnomah", "41051"], ["or_multhomah", "41051"], ["or_mult.", "41051"], ["or_polk", "41053"], ["or_sherman", "41055"], ["or_tillamook", "41057"], ["or_umatilla", "41059"], ["or_union", "41061"], ["or_wallowa", "41063"], ["or_wasco", "41065"], ["or_washington", "41067"], ["or_wheeler", "41069"], ["or_yamhill", "41071"], ["pa_adams", "42001"], ["pa_allegheny", "42003"], ["pa_alleg", "42003"], ["pa_ally", "42003"], ["pa_armstrong", "42005"], ["pa_beaver", "42007"], ["pa_bedford", "42009"], ["pa_berks", "42011"], ["pa_blair", "42013"], ["pa_bradford", "42015"], ["pa_bucks", "42017"], ["pa_butler", "42019"], ["pa_cambria", "42021"], ["pa_cameron", "42023"], ["pa_carbon", "42025"], ["pa_centre", "42027"], ["pa_center", "42027"], ["pa_chester", "42029"], ["pa_clarion", "42031"], ["pa_clearfield", "42033"], ["pa_clinton", 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["pa_northampton", "42095"], ["pa_northumberland", "42097"], ["pa_north'd", "42097"], ["pa_perry", "42099"], ["pa_philadelphia", "42101"], ["pa_phila", "42101"], ["pa_philada", "42101"], ["pa_philda", "42101"], ["pa_pike", "42103"], ["pa_potter", "42105"], ["pa_schuylkill", "42107"], ["pa_snyder", "42109"], ["pa_somerset", "42111"], ["pa_sullivan", "42113"], ["pa_susquehanna", "42115"], ["pa_tioga", "42117"], ["pa_union", "42119"], ["pa_venango", "42121"], ["pa_warren", "42123"], ["pa_washington", "42125"], ["pa_wayne", "42127"], ["pa_westmoreland", "42129"], ["pa_westmorland", "42129"], ["pa_westm'd", "42129"], ["pa_wyoming", "42131"], ["pa_york", "42133"], ["ri_bristol", "44001"], ["ri_kent", "44003"], ["ri_newport", "44005"], ["ri_providence", "44007"], ["ri_washington", "44009"], ["sc_abbeville", "45001"], ["sc_aiken", "45003"], ["sc_allendale", "45005"], ["sc_anderson", "45007"], ["sc_bamberg", "45009"], ["sc_barnwell", "45011"], ["sc_beaufort", "45013"], ["sc_berkeley", "45015"], ["sc_calhoun", "45017"], ["sc_charleston", "45019"], ["sc_cherokee", "45021"], ["sc_chester", "45023"], ["sc_chesterfield", "45025"], ["sc_clarendon", "45027"], ["sc_clarandon", "45027"], ["sc_colleton", "45029"], ["sc_darlington", "45031"], ["sc_dillon", "45033"], ["sc_dorchester", "45035"], ["sc_edgefield", "45037"], ["sc_fairfield", "45039"], ["sc_florence", "45041"], ["sc_georgetown", "45043"], ["sc_greenville", "45045"], ["sc_greenwood", "45047"], ["sc_hampton", "45049"], ["sc_horry", "45051"], ["sc_jasper", "45053"], ["sc_kershaw", "45055"], ["sc_lancaster", "45057"], ["sc_laurens", "45059"], ["sc_lee", "45061"], ["sc_lexington", "45063"], ["sc_mccormick", "45065"], ["sc_marion", "45067"], ["sc_marlboro", "45069"], ["sc_newberry", "45071"], ["sc_oconee", "45073"], ["sc_orangeburg", "45075"], ["sc_pickens", "45077"], ["sc_richland", "45079"], ["sc_saluda", "45081"], ["sc_spartanburg", "45083"], ["sc_sumter", "45085"], ["sc_union", "45087"], ["sc_williamsburg", "45089"], 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["sd_lawrence", "46081"], ["sd_lincoln", "46083"], ["sd_lyman", "46085"], ["sd_mccook", "46087"], ["sd_mcpherson", "46089"], ["sd_marshall", "46091"], ["sd_meade", "46093"], ["sd_mellette", "46095"], ["sd_miner", "46097"], ["sd_minnehaha", "46099"], ["sd_moody", "46101"], ["sd_pennington", "46103"], ["sd_potter", "46107"], ["sd_sanborn", "46111"], ["sd_shannon", "46113"], ["sd_spink", "46115"], ["sd_stanley", "46117"], ["sd_sully", "46119"], ["sd_todd", "46121"], ["sd_tripp", "46123"], ["sd_turner", "46125"], ["sd_union", "46127"], ["sd_walworth", "46129"], ["sd_washabaugh", "46131"], ["sd_washington", "46133"], ["sd_yankton", "46135"], ["sd_ziebach", "46137"], ["tn_anderson", "47001"], ["tn_bedford", "47003"], ["tn_benton", "47005"], ["tn_bledsoe", "47007"], ["tn_blount", "47009"], ["tn_bradley", "47011"], ["tn_campbell", "47013"], ["tn_cannon", "47015"], ["tn_carroll", "47017"], ["tn_carter", "47019"], ["tn_cheatham", "47021"], ["tn_chester", "47023"], ["tn_claiborne", "47025"], ["tn_clay", "47027"], ["tn_cocke", "47029"], ["tn_coffee", "47031"], ["tn_crockett", "47033"], ["tn_cumberland", "47035"], ["tn_davidson", "47037"], ["tn_decatur", "47039"], ["tn_dekalb", "47041"], ["tn_de kalb", "47041"], ["tn_dickson", "47043"], ["tn_dyer", "47045"], ["tn_fayette", "47047"], ["tn_fentress", "47049"], ["tn_franklin", "47051"], ["tn_gibson", "47053"], ["tn_giles", "47055"], ["tn_grainger", "47057"], ["tn_greene", "47059"], ["tn_grundy", "47061"], ["tn_hamblen", "47063"], ["tn_hamilton", "47065"], ["tn_hancock", "47067"], ["tn_hardeman", "47069"], ["tn_hardin", "47071"], ["tn_hawkins", "47073"], ["tn_haywood", "47075"], ["tn_henderson", "47077"], ["tn_henry", "47079"], ["tn_hickman", "47081"], ["tn_houston", "47083"], ["tn_humphreys", "47085"], ["tn_jackson", "47087"], ["tn_jefferson", "47089"], ["tn_johnson", "47091"], ["tn_knox", "47093"], ["tn_lake", "47095"], ["tn_lauderdale", "47097"], ["tn_lawrence", "47099"], ["tn_lewis", "47101"], ["tn_lincoln", "47103"], 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["tx_childress", "48075"], ["tx_clay", "48077"], ["tx_cochran", "48079"], ["tx_coke", "48081"], ["tx_coleman", "48083"], ["tx_collin", "48085"], ["tx_collins", "48085"], ["tx_collingsworth", "48087"], ["tx_colorado", "48089"], ["tx_colerado", "48089"], ["tx_comal", "48091"], ["tx_comanche", "48093"], ["tx_concho", "48095"], ["tx_cooke", "48097"], ["tx_coryell", "48099"], ["tx_cottle", "48101"], ["tx_crane", "48103"], ["tx_crockett", "48105"], ["tx_crosby", "48107"], ["tx_culberson", "48109"], ["tx_dallam", "48111"], ["tx_dallas", "48113"], ["tx_dawson", "48115"], ["tx_deaf smith", "48117"], ["tx_delta", "48119"], ["tx_denton", "48121"], ["tx_de witt", "48123"], ["tx_dewitt", "48123"], ["tx_dickens", "48125"], ["tx_dimmit", "48127"], ["tx_donley", "48129"], ["tx_duval", "48131"], ["tx_eastland", "48133"], ["tx_ector", "48135"], ["tx_edwards", "48137"], ["tx_ellis", "48139"], ["tx_el paso", "48141"], ["tx_erath", "48143"], ["tx_falls", "48145"], ["tx_fannin", "48147"], ["tx_fayette", 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["tx_houston", "48225"], ["tx_howard", "48227"], ["tx_hudspeth", "48229"], ["tx_hunt", "48231"], ["tx_hutchinson", "48233"], ["tx_irion", "48235"], ["tx_jack", "48237"], ["tx_jackson", "48239"], ["tx_jasper", "48241"], ["tx_jeff davis", "48243"], ["tx_jefferson", "48245"], ["tx_jim hogg", "48247"], ["tx_jim wells", "48249"], ["tx_johnson", "48251"], ["tx_jones", "48253"], ["tx_karnes", "48255"], ["tx_kaufman", "48257"], ["tx_kendall", "48259"], ["tx_kenedy", "48261"], ["tx_kent", "48263"], ["tx_kerr", "48265"], ["tx_kimble", "48267"], ["tx_king", "48269"], ["tx_kinney", "48271"], ["tx_kleberg", "48273"], ["tx_knox", "48275"], ["tx_lamar", "48277"], ["tx_lamb", "48279"], ["tx_lampasas", "48281"], ["tx_la salle", "48283"], ["tx_lasalle", "48283"], ["tx_lavaca", "48285"], ["tx_lee", "48287"], ["tx_leon", "48289"], ["tx_liberty", "48291"], ["tx_limestone", "48293"], ["tx_lipscomb", "48295"], ["tx_live oak", "48297"], ["tx_llano", "48299"], ["tx_loving", "48301"], ["tx_lubbock", "48303"], ["tx_lynn", "48305"], ["tx_mcculloch", "48307"], ["tx_mclennan", "48309"], ["tx_mcmullen", "48311"], ["tx_madison", "48313"], ["tx_marion", "48315"], ["tx_martin", "48317"], ["tx_mason", "48319"], ["tx_matagorda", "48321"], ["tx_maverick", "48323"], ["tx_medina", "48325"], ["tx_menard", "48327"], ["tx_midland", "48329"], ["tx_milam", "48331"], ["tx_mills", "48333"], ["tx_mitchell", "48335"], ["tx_montague", "48337"], ["tx_montgomery", "48339"], ["tx_moore", "48341"], ["tx_morris", "48343"], ["tx_motley", "48345"], ["tx_nacogdoches", "48347"], ["tx_navarro", "48349"], ["tx_newton", "48351"], ["tx_nolan", "48353"], ["tx_nueces", "48355"], ["tx_ochiltree", "48357"], ["tx_oldham", "48359"], ["tx_orange", "48361"], ["tx_palo pinto", "48363"], ["tx_panola", "48365"], ["tx_parker", "48367"], ["tx_parmer", "48369"], ["tx_pecos", "48371"], ["tx_polk", "48373"], ["tx_potter", "48375"], ["tx_presidio", "48377"], ["tx_rains", "48379"], ["tx_randall", "48381"], ["tx_reagan", "48383"], ["tx_real", 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["ut_sanpete", "49039"], ["ut_sevier", "49041"], ["ut_summit", "49043"], ["ut_tooele", "49045"], ["ut_uintah", "49047"], ["ut_utah", "49049"], ["ut_wasatch", "49051"], ["ut_washington", "49053"], ["ut_wayne", "49055"], ["ut_weber", "49057"], ["vt_addison", "50001"], ["vt_bennington", "50003"], ["vt_caledonia", "50005"], ["vt_chittenden", "50007"], ["vt_essex", "50009"], ["vt_franklin", "50011"], ["vt_grand isle", "50013"], ["vt_lamoille", "50015"], ["vt_orange", "50017"], ["vt_orleans", "50019"], ["vt_rutland", "50021"], ["vt_washington", "50023"], ["vt_windham", "50025"], ["vt_windsor", "50027"], ["va_accomack", "51001"], ["va_accomac", "51001"], ["va_albemarle", "51003"], ["va_alleghany", "51005"], ["va_allegheny", "51005"], ["va_allgehany", "51005"], ["va_amelia", "51007"], ["va_amherst", "51009"], ["va_appomattox", "51011"], ["va_augusta", "51015"], ["va_augusts", "51015"], ["va_bath", "51017"], ["va_bedford", "51019"], ["va_bland", "51021"], ["va_botetourt", "51023"], ["va_brunswick", "51025"], ["va_buchanan", "51027"], ["va_buckingham", "51029"], ["va_campbell", "51031"], ["va_caroline", "51033"], ["va_carroll", "51035"], ["va_charles city", "51036"], ["va_charlotte", "51037"], ["va_chesterfield", "51041"], ["va_clarke", "51043"], ["va_craig", "51045"], ["va_culpeper", "51047"], ["va_cumberland", "51049"], ["va_dickenson", "51051"], ["va_dinwiddie", "51053"], ["va_elizabeth city", "51055"], ["va_elizabeth", "51055"], ["va_essex", "51057"], ["va_fairfax", "51059"], ["va_fairfox", "51059"], ["va_fauquier", "51061"], ["va_floyd", "51063"], ["va_fluvanna", "51065"], ["va_franklin", "51067"], ["va_frederick", "51069"], ["va_giles", "51071"], ["va_gloucester", "51073"], ["va_goochland", "51075"], ["va_grayson", "51077"], ["va_greene", "51079"], ["va_greensville", "51081"], ["va_halifax", "51083"], ["va_hanover", "51085"], ["va_henrico", "51087"], ["va_henry", "51089"], ["va_highland", "51091"], ["va_isle of wight", "51093"], ["va_james city", "51095"], ["va_king and queen", "51097"], ["va_king george", "51099"], ["va_king william", "51101"], ["va_lancaster", "51103"], ["va_lee", "51105"], ["va_loudoun", "51107"], ["va_laudoun", "51107"], ["va_louisa", "51109"], ["va_lunenburg", "51111"], ["va_madison", "51113"], ["va_mathews", "51115"], ["va_matthews", "51115"], ["va_mathew", "51115"], ["va_mecklenburg", "51117"], ["va_middlesex", "51119"], ["va_montgomery", "51121"], ["va_nansemond", "51123"], ["va_nansemonds", "51123"], ["va_nelson", "51125"], ["va_new kent", "51127"], ["va_norfolk", "51129"], ["va_northampton", "51131"], ["va_northumberland", "51133"], ["va_nottoway", "51135"], ["va_orange", "51137"], ["va_page", "51139"], ["va_patrick", "51141"], ["va_pittsylvania", "51143"], ["va_powhatan", "51145"], ["va_prince edward", "51147"], ["va_prince george", "51149"], ["va_prince georges", "51149"], ["va_princess anne", "51151"], ["va_prince william", "51153"], ["va_pulaski", "51155"], ["va_rappahannock", "51157"], ["va_richmond", "51159"], ["va_roanoke", "51161"], ["va_rockbridge", "51163"], ["va_rockingham", "51165"], ["va_russell", "51167"], ["va_scott", "51169"], ["va_shenandoah", "51171"], ["va_smyth", "51173"], ["va_southampton", "51175"], ["va_spotsylvania", "51177"], ["va_stafford", "51179"], ["va_surry", "51181"], ["va_sussex", "51183"], ["va_tazewell", "51185"], ["va_warren", "51187"], ["va_warwick", "51189"], ["va_warwilk", "51189"], ["va_washington", "51191"], ["va_westmoreland", "51193"], ["va_westmorland", "51193"], ["va_wise", "51195"], ["va_wythe", "51197"], ["va_york", "51199"], ["va_alexandria city", "51510"], ["va_alexandria", "51510"], ["va_alexandria (independent city)", "51510"], ["va_hampton city", "51650"], ["va_hampton", "51650"], ["va_hampton (independent city)", "51650"], ["va_norfolk city", "51710"], ["va_norfolk (independent city)", "51710"], ["va_radford", "51750"], ["va_radford city", "51750"], ["va_radford (independent city)", "51750"], ["va_richmond city", "51760"], ["va_richmond (independent city)", "51760"], ["va_roanoke city", "51770"], ["va_roanoke (independent city)", "51770"], ["va_williamsburg city", "51830"], ["va_williamsburg (independent city)", "51830"], ["wa_adams", "53001"], ["wa_asotin", "53003"], ["wa_benton", "53005"], ["wa_chelan", "53007"], ["wa_clallam", "53009"], ["wa_clark", "53011"], ["wa_columbia", "53013"], ["wa_cowlitz", "53015"], ["wa_douglas", "53017"], ["wa_ferry", "53019"], ["wa_franklin", "53021"], ["wa_garfield", "53023"], ["wa_grant", "53025"], ["wa_island", "53029"], ["wa_jefferson", "53031"], ["wa_king", "53033"], ["wa_kitsap", "53035"], ["wa_kittitas", "53037"], ["wa_klickitat", "53039"], ["wa_klikatat", "53039"], ["wa_lewis", "53041"], ["wa_lincoln", "53043"], ["wa_mason", "53045"], ["wa_okanogan", "53047"], ["wa_pacific", "53049"], ["wa_pend oreille", "53051"], ["wa_pierce", "53053"], ["wa_san juan", "53055"], ["wa_skagit", "53057"], ["wa_skamania", "53059"], ["wa_snohomish", "53061"], ["wa_spokane", "53063"], ["wa_stevens", "53065"], ["wa_thurston", "53067"], ["wa_wahkiakum", "53069"], ["wa_walla walla", "53071"], ["wa_whatcom", "53073"], ["wa_whitman", "53075"], ["wa_yakima", "53077"], ["wv_barbour", "54001"], ["wv_berkeley", "54003"], ["wv_berkley", "54003"], ["wv_boone", "54005"], ["wv_braxton", "54007"], ["wv_brooke", "54009"], ["wv_cabell", "54011"], ["wv_calhoun", "54013"], ["wv_clay", "54015"], ["wv_doddridge", "54017"], ["wv_fayette", "54019"], ["wv_gilmer", "54021"], ["wv_grant", "54023"], ["wv_greenbrier", "54025"], ["wv_hampshire", "54027"], ["wv_hancock", "54029"], ["wv_hardy", "54031"], ["wv_harrison", "54033"], ["wv_jackson", "54035"], ["wv_jefferson", "54037"], ["wv_kanawha", "54039"], ["wv_lewis", "54041"], ["wv_lincoln", "54043"], ["wv_logan", "54045"], ["wv_mcdowell", "54047"], ["wv_marion", "54049"], ["wv_marshall", "54051"], ["wv_mason", "54053"], ["wv_mercer", "54055"], ["wv_mineral", "54057"], ["wv_mingo", "54059"], ["wv_monongalia", "54061"], ["wv_monongahela", "54061"], ["wv_monroe", "54063"], ["wv_morgan", "54065"], ["wv_nicholas", "54067"], ["wv_ohio", "54069"], ["wv_pendleton", "54071"], ["wv_pleasants", "54073"], ["wv_pocahontas", "54075"], ["wv_preston", "54077"], ["wv_putnam", "54079"], ["wv_raleigh", "54081"], ["wv_randolph", "54083"], ["wv_ritchie", "54085"], ["wv_roane", "54087"], ["wv_summers", "54089"], ["wv_taylor", "54091"], ["wv_tucker", "54093"], ["wv_tyler", "54095"], ["wv_upshur", "54097"], ["wv_wayne", "54099"], ["wv_webster", "54101"], ["wv_wetzel", "54103"], ["wv_wirt", "54105"], ["wv_wood", "54107"], ["wv_wyoming", "54109"], ["wi_adams", "55001"], ["wi_ashland", "55003"], ["wi_brown", "55009"], ["wi_buffalo", "55011"], ["wi_burnett", "55013"], ["wi_calumet", "55015"], ["wi_chippewa", "55017"], ["wi_clark", "55019"], ["wi_columbia", "55021"], ["wi_crawford", "55023"], ["wi_dane", "55025"], ["wi_dodge", "55027"], ["wi_door", "55029"], ["wi_douglas", "55031"], ["wi_dunn", "55033"], ["wi_eau claire", "55035"], ["wi_florence", "55037"], ["wi_fond du lac", "55039"], ["wi_fond de lac", "55039"], ["wi_fonddu lac", "55039"], ["wi_forest", "55041"], ["wi_grant", "55043"], ["wi_green", "55045"], ["wi_green lake", "55047"], ["wi_iowa", "55049"], ["wi_iron", "55051"], ["wi_jackson", "55053"], ["wi_jefferson", "55055"], ["wi_juneau", "55057"], ["wi_kenosha", "55059"], ["wi_kewaunee", "55061"], ["wi_la crosse", "55063"], ["wi_lacrosse", "55063"], ["wi_lafayette", "55065"], ["wi_langlade", "55067"], ["wi_lincoln", "55069"], ["wi_manitowoc", "55071"], ["wi_marathon", "55073"], ["wi_marinette", "55075"], ["wi_marquette", "55077"], ["wi_milwaukee", "55079"], ["wi_milw", "55079"], ["wi_monroe", "55081"], ["wi_oconto", "55083"], ["wi_oneida", "55085"], ["wi_outagamie", "55087"], ["wi_ozaukee", "55089"], ["wi_pepin", "55091"], ["wi_pierce", "55093"], ["wi_polk", "55095"], ["wi_portage", "55097"], ["wi_price", "55099"], ["wi_racine", "55101"], ["wi_richland", "55103"], ["wi_rock", "55105"], ["wi_rusk", "55107"], ["wi_st croix", "55109"], ["wi_st. croix", "55109"], ["wi_sauk", "55111"], ["wi_sawyer", "55113"], ["wi_shawano", "55115"], ["wi_sheboygan", "55117"], ["wi_taylor", "55119"], ["wi_trempealeau", "55121"], ["wi_vilas", "55125"], ["wi_walworth", "55127"], ["wi_washburn", "55129"], ["wi_washington", "55131"], ["wi_waukesha", "55133"], ["wi_waupaca", "55135"], ["wi_waushara", "55137"], ["wi_winnebago", "55139"], ["wi_wood", "55141"], ["wy_albany", "56001"], ["wy_big horn", "56003"], ["wy_campbell", "56005"], ["wy_carbon", "56007"], ["wy_converse", "56009"], ["wy_crook", "56011"], ["wy_fremont", "56013"], ["wy_goshen", "56015"], ["wy_hot springs", "56017"], ["wy_johnson", "56019"], ["wy_laramie", "56021"], ["wy_lincoln", "56023"], ["wy_natrona", "56025"], ["wy_niobrara", "56027"], ["wy_park", "56029"], ["wy_platte", "56031"], ["wy_sheridan", "56033"], ["wy_sublette", "56035"], ["wy_sweetwater", "56037"], ["wy_teton", "56039"], ["wy_uinta", "56041"], ["wy_washakie", "56043"], ["wy_weston", "56045"], ] compile_US_states_and_counties() def set_1940_dictionaries(): state_fips_1940_list = [[ 1, "Alabama"], [ 2, "Alaska"], [ 4, "Arizona"], [ 5, "Arkansas"], [ 6, "California"], [ 8, "Colorado"], [ 9, "Connecticut"], [ 10, "Delaware"], [ 11, "District of Columbia"], [ 12, "Florida"], [ 13, "Georgia"], [ 15, "Hawaii"], [ 16, "Idaho"], [ 17, "Illinois"], [ 18, "Indiana"], [ 19, "Iowa"], [ 20, "Kansas"], [ 21, "Kentucky"], [ 22, "Louisiana"], [ 23, "Maine"], [ 24, "Maryland"], [ 25, "Massachusetts"], [ 26, "Michigan"], [ 27, "Minnesota"], [ 28, "Mississippi"], [ 29, "Missouri"], [ 30, "Montana"], [ 31, "Nebraska"], [ 32, "Nevada"], [ 33, "New Hampshire"], [ 34, "New Jersey"], [ 35, "New Mexico"], [ 36, "New York"], [ 37, "North Carolina"], [ 38, "North Dakota"], [ 39, "Ohio"], [ 40, "Oklahoma"], [ 41, "Oregon"], [ 42, "Pennsylvania"], [ 44, "Rhode Island"], [ 45, "South Carolina"], [ 46, "South Dakota"], [ 47, "Tennessee"], [ 48, "Texas"], [ 49, "Utah"], [ 50, "Vermont"], [ 51, "Virginia"], [ 53, "Washington"], [ 54, "West Virginia"], [ 55, "Wisconsin"], [ 56, "Wyoming"], [ 61, "Maine-New Hampshire-Vermont"], [ 62, "Massachusetts-Rhode Island"], [ 63, "Minnesota-Iowa-Missouri-Kansas-Nebraska-S. Dakota-N. Dakota"], [ 64, "Maryland-Delaware"], [ 65, "Montana-Idaho-Wyoming"], [ 66, "Utah-Nevada"], [ 67, "Arizona-New Mexico"], [ 68, "Alaska-Hawaii"], [ 72, "Puerto Rico"], [ 78, "Virgin Islands (in 1990 internal census data)"], [ 93, "Dakota Territory"], [ 94, "Indian Territory"], [ 97, "Overseas Military Installations"], [ 99, "State not identified"], ] genders_1940_list = [[ 1, "Male"], [ 2, "Female"], [ 8, "Illegible"], [ 9, "Missing/blank"], ] ethnicities_1940_list = [[ 100, "White"], [ 110, "Spanish write_in"], [ 120, "Blank (white)"], [ 130, "Portuguese"], [ 140, "Mexican (1930)"], [ 150, "Puerto Rican"], [ 200, "Black/Negro"], [ 210, "Mulatto"], [ 300, "American Indian/Alaska Native (AIAN)"], [ 302, "Apache"], [ 303, "Blackfoot"], [ 304, "Cherokee"], [ 305, "Cheyenne"], [ 306, "Chickasaw"], [ 307, "Chippewa"], [ 308, "Choctaw"], [ 309, "Comanche"], [ 310, "Creek"], [ 311, "Crow"], [ 312, "Iroquois"], [ 313, "Kiowa"], [ 314, "Lumbee"], [ 315, "Navajo"], [ 316, "Osage"], [ 317, "Paiute"], [ 318, "Pima"], [ 319, "Potawatomi"], [ 320, "Pueblo"], [ 321, "Seminole"], [ 322, "Shoshone"], [ 323, "Sioux"], [ 324, "Tlingit (Tlingit_Haida, 2000, ACS)"], [ 325, "Tohono O'Odham"], [ 326, "All other tribes (1990)"], [ 328, "Hopi"], [ 350, "Delaware"], [ 351, "Latin American Indian"], [ 352, "Puget Sound Salish"], [ 353, "Yakama"], [ 354, "Yaqui"], [ 355, "Colville"], [ 356, "Houma"], [ 357, "Menominee"], [ 358, "Yuman"], [ 359, "South American Indian"], [ 360, "Mexican American Indian"], [ 361, "Other Specified AI tribe (2000,ACS)"], [ 362, "Two or more AI tribes (2000,ACS)"], [ 370, "Alaskan Athabaskan"], [ 371, "Aleut"], [ 372, "Eskimo"], [ 373, "Alaskan mixed"], [ 374, "Inupiat"], [ 375, "Yup'ik"], [ 379, "Other AN tribe(s) (2000,ACS)"], [ 398, "Both AI and AN (2000,ACS)"], [ 399, "AIAN, tribe not specified"], [ 400, "Chinese"], [ 410, "Taiwanese"], [ 420, "Chinese and Taiwanese"], [ 500, "Japanese"], [ 600, "Filipino"], [ 610, "Asian Indian (Hindu 1920_1940)"], [ 620, "Korean"], [ 630, "Native Hawaiian"], [ 631, "Asiatic Hawaiian (1920)"], [ 632, "Caucasian Hawaiian (1920)"], [ 634, "Hawaiian mixed"], [ 640, "Vietnamese"], [ 641, "Bhutanese"], [ 642, "Mongolian"], [ 643, "Nepalese"], [ 650, "Other Asian or Pacific Islander (1980)"], [ 651, "Asian only (CPS)"], [ 652, "Pacific Islander only (CPS)"], [ 653, "Asian or Pacific Islander, n.s. (1990 Internal Census files)"], [ 660, "Cambodian"], [ 661, "Hmong"], [ 662, "Laotian"], [ 663, "Thai"], [ 664, "Bangladeshi"], [ 665, "Burmese"], [ 666, "Indonesian"], [ 667, "Malaysian"], [ 668, "Okinawan"], [ 669, "Pakistani"], [ 670, "Sri Lankan"], [ 671, "All other Asian, n.e.c."], [ 672, "Asian, not specified"], [ 673, "Chinese and Japanese"], [ 674, "Chinese and Filipino"], [ 675, "Chinese and Vietnamese"], [ 676, "Chinese and Asian write_in; Chinese and Other Asian"], [ 677, "Japanese and Filipino"], [ 678, "Asian Indian and Asian write_in"], [ 679, "Other Asian race combinations"], [ 680, "Samoan"], [ 681, "Tahitian"], [ 682, "Tongan"], [ 683, "Other Polynesian (1990)"], [ 684, "One or more other Polynesian races (2000,ACS)"], [ 685, "Guamanian/Chamorro"], [ 686, "Northern Mariana Islander"], [ 687, "Palauan"], [ 688, "Other Micronesian (1990)"], [ 689, "One or more other Micronesian races (2000,ACS)"], [ 690, "Fijian"], [ 691, "Other Melanesian (1990)"], [ 692, "One or more Melanesian races (2000,ACS)"], [ 698, "Two or more PI races from multiple regions"], [ 699, "Pacific Islander (PI), n.s."], [ 700, "Other race, n.e.c."], [ 801, "White and Black"], [ 802, "White and AIAN"], [ 810, "White and Asian"], [ 811, "White and Chinese"], [ 812, "White and Japanese"], [ 813, "White and Filipino"], [ 814, "White and Asian Indian"], [ 815, "White and Korean"], [ 816, "White and Vietnamese"], [ 817, "White and Asian write_in"], [ 818, "White and other Asian race(s)"], [ 819, "White and two or more Asian groups"], [ 820, "White and PI:"], [ 821, "White and Native Hawaiian"], [ 822, "White and Samoan"], [ 823, "White and Guamanian/Chamorro"], [ 824, "White and PI write_in"], [ 825, "White and other PI race(s)"], [ 826, "White and 'other race' write_in"], [ 827, "White and one or more major race groups, n.e.c."], [ 830, "Black and AIAN"], [ 831, "Black and Asian"], [ 832, "Black and Chinese"], [ 833, "Black and Japanese"], [ 834, "Black and Filipino"], [ 835, "Black and Asian Indian"], [ 836, "Black and Korean"], [ 837, "Black and Asian write_in"], [ 838, "Black and other Asian race(s)"], [ 840, "Black and Pacific Islander"], [ 841, "Black and Pacific Islander write_in"], [ 842, "Black and other PI race(s)"], [ 845, "Black and 'other race' write_in"], [ 850, "AIAN and Asian"], [ 851, "AIAN and Filipino (2000 1%)"], [ 852, "AIAN and Asian Indian"], [ 853, "AIAN and Asian write_in (2000 1%)"], [ 854, "AIAN and other Asian race(s)"], [ 855, "AIAN and Pacific Islander"], [ 856, "AIAN and 'other race' write_in"], [ 860, "Asian and Pacific Islander"], [ 861, "Chinese and Native Hawaiian"], [ 862, "Chinese, Filipino, and Native Hawaiian (2000 1%)"], [ 863, "Japanese and Native Hawaiian (2000 1%)"], [ 864, "Filipino and Native Hawaiian"], [ 865, "Filipino and PI write_in"], [ 866, "Asian Indian and PI write_in (2000 1%)"], [ 867, "Asian write_in and PI write_in"], [ 868, "Other Asian race(s) and PI race(s)"], [ 869, "Japanese and Korean (ACS)"], [ 880, "Asian and 'other race' write_in"], [ 881, "Chinese and 'other race' write_in"], [ 882, "Japanese and 'other race' write_in (2000 1%)"], [ 883, "Filipino and 'other race' write_in"], [ 884, "Asian Indian and 'other race' write_in"], [ 885, "Asian write_in and 'other race' write_in"], [ 886, "Other Asian race(s) and 'other race' write_in"], [ 887, "Chinese and Korean"], [ 890, "PI and 'other race' write_in"], [ 891, "PI write_in and 'other race' write_in"], [ 892, "Other PI race(s) and 'other race' write_in"], [ 893, "Native Hawaiian or PI other race(s)"], [ 899, "Asian/Pacific Islander and 'other race' write_in"], [ 901, "White, Black, and AIAN"], [ 902, "White and Black and Asian"], [ 903, "White and Black and Pacific Islander"], [ 904, "White and Black and 'other race' write_in"], [ 905, "White and American Indian/Alaska Native and Asian"], [ 906, "White and American Indian/Alaska Native and Pacific Islander"], [ 907, "White and American Indian/Alaska Native and 'other race' write_in"], [ 910, "White and Asian and Pacific Islander:"], [ 911, "White and Chinese and Native Hawaiian"], [ 912, "White and Chinese and Filipino and Native Hawaiian (2000 1%, 2012 ACS)"], [ 913, "White and Japanese and Native Hawaiian (2000 1%)"], [ 914, "White and Filipino and Native Hawaiian"], [ 915, "Other White and Asian race(s) and Pacific Islander race(s)"], [ 916, "White, AIAN and Filipino"], [ 917, "White, Black, and Filipino"], [ 920, "White and Asian and 'other race' write_in:"], [ 921, "White and Filipino and 'other race' write_in (2000 1%)"], [ 922, "White and Asian write_in and 'other race' write_in (2000 1%)"], [ 923, "Other White and Asian race(s) and 'other race' write_in (2000 1%)"], [ 925, "White and Pacific Islander and 'other race' write_in"], [ 926, "White, Chinese, Filipino"], [ 930, "Black and American Indian/Alaska Native and Asian"], [ 931, "Black and American Indian/Alaska Native and Pacific Islander"], [ 932, "Black and American Indian/Alaska Native and 'other race' write_in"], [ 933, "Black and Asian and Pacific Islander"], [ 934, "Black and Asian and 'other race' write_in"], [ 935, "Black and Pacific Islander and 'other race' write_in"], [ 940, "American Indian/Alaska Native and Asian and Pacific Islander"], [ 941, "American Indian/Alaska Native and Asian and 'other race' write_in"], [ 942, "American Indian/Alaska Native and Pacific Islander and 'other race' write_in"], [ 943, "Asian and Pacific Islander and 'other race' write_in"], [ 944, "Asian (Chinese, Japanese, Korean, Vietnamese); and Native Hawaiian or PI; and Other"], [ 949, "Two or three major race groups, unspecified (CPS)"], [ 950, "White and Black and American Indian/Alaska Native and Asian"], [ 951, "White and Black and American Indian/Alaska Native and Pacific Islander"], [ 952, "White and Black and American Indian/Alaska Native and 'other race' write_in"], [ 953, "White and Black and Asian and Pacific Islander"], [ 954, "White and Black and Asian and 'other race' write_in"], [ 955, "White and Black and Pacific Islander and 'other race' write_in"], [ 960, "White and American Indian/Alaska Native and Asian and Pacific Islander"], [ 961, "White and American Indian/Alaska Native and Asian and 'other race' write_in"], [ 962, "White and American Indian/Alaska Native and Pacific Islander and 'other race' write_in"], [ 963, "White and Asian and Pacific Islander and 'other race' write_in"], [ 964, "White, Chinese, Japanese, Native Hawaiian"], [ 970, "Black and American Indian/Alaska Native and Asian and Pacific Islander"], [ 971, "Black and American Indian/Alaska Native and Asian and 'other race' write_in"], [ 972, "Black and American Indian/Alaska Native and Pacific Islander and 'other race' write_in"], [ 973, "Black and Asian and Pacific Islander and 'other race' write_in"], [ 974, "American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write_in"], [ 975, "American Indian and Alaska Native race; Asian groups and/or Native Hawaiian and Other Pacific Islander groups and/or Some other race"], [ 976, "Two specified Asian (Chinese and other Asian, Chinese and Japanese, Japanese and other Asian, Korean and other Asian); Native Hawaiian/PI; and Other Race"], [ 980, "White and Black and American Indian/Alaska Native and Asian and Pacific Islander"], [ 981, "White and Black and American Indian/Alaska Native and Asian and 'other race' write_in"], [ 982, "White and Black and American Indian/Alaska Native and Pacific Islander and 'other race' write_in"], [ 983, "White and Black and Asian and Pacific Islander and 'other race' write_in"], [ 984, "White and American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write_in"], [ 985, "Black and American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write_in"], [ 986, "Black or African American race; American Indian and Alaska Native race; Asian groups and/or Native Hawaiian and Other Pacific Islander groups and/or Some other race"], [ 989, "Four or five major race groups, unspecified (CPS)"], [ 990, "White and Black and American Indian/Alaska Native and Asian and Pacific Islander and 'other race' write_in"], [ 991, "White race; Some other race; Black or African American race and/or American Indian and Alaska Native race and/or Asian groups and/or Native Hawaiian and Other Pacific Islander groups"], [ 996, "Two or more major race groups, n.e.c. (CPS)"], [ 997, "Unknown"], [ 998, "Illegible"], [ 999, "Missing"], ] birthplaces_1940_list = [[ 100, "Alabama"], [ 200, "Alaska"], [ 400, "Arizona"], [ 500, "Arkansas"], [ 600, "California"], [ 800, "Colorado"], [ 900, "Connecticut"], [ 1000, "Delaware"], [ 1100, "District of Columbia"], [ 1200, "Florida"], [ 1300, "Georgia"], [ 1500, "Hawaii"], [ 1600, "Idaho"], [ 1610, "Idaho Territory"], [ 1700, "Illinois"], [ 1800, "Indiana"], [ 1900, "Iowa"], [ 2000, "Kansas"], [ 2100, "Kentucky"], [ 2200, "Louisiana"], [ 2300, "Maine"], [ 2400, "Maryland"], [ 2500, "Massachusetts"], [ 2600, "Michigan"], [ 2700, "Minnesota"], [ 2800, "Mississippi"], [ 2900, "Missouri"], [ 3000, "Montana"], [ 3100, "Nebraska"], [ 3200, "Nevada"], [ 3300, "New Hampshire"], [ 3400, "New Jersey"], [ 3500, "New Mexico"], [ 3510, "New Mexico Territory"], [ 3600, "New York"], [ 3700, "North Carolina"], [ 3800, "North Dakota"], [ 3900, "Ohio"], [ 4000, "Oklahoma"], [ 4010, "Indian Territory"], [ 4100, "Oregon"], [ 4200, "Pennsylvania"], [ 4400, "Rhode Island"], [ 4500, "South Carolina"], [ 4600, "South Dakota"], [ 4610, "Dakota Territory"], [ 4700, "Tennessee"], [ 4800, "Texas"], [ 4900, "Utah"], [ 4910, "Utah Territory"], [ 5000, "Vermont"], [ 5100, "Virginia"], [ 5300, "Washington"], [ 5400, "West Virginia"], [ 5500, "Wisconsin"], [ 5600, "Wyoming"], [ 5610, "Wyoming Territory"], [ 9000, "Native American"], [ 9900, "United States, n.s."], [ 10000, "American Samoa"], [ 10010, "Samoa, 1940-1950"], [ 10500, "Guam"], [ 11000, "Puerto Rico"], [ 11500, "U.S. Virgin Islands"], [ 11510, "St. Croix"], [ 11520, "St. John"], [ 11530, "St. Thomas"], [ 12000, "Other US Possessions"], [ 12010, "Johnston Atoll"], [ 12020, "Midway Islands"], [ 12030, "Wake Island"], [ 12040, "Other US Caribbean Is."], [ 12041, "Navassa Island"], [ 12050, "Other US Pacific Is."], [ 12051, "Baker Island"], [ 12052, "Howland Island"], [ 12053, "Jarvis Island"], [ 12054, "Kingman Reef"], [ 12055, "Palmyra Atoll"], [ 12090, "US outlying areas, n.s."], [ 12091, "US possessions, n.s."], [ 12092, "US territory, n.s."], [ 15000, "Canada"], [ 15010, "English Canada"], [ 15011, "British Columbia"], [ 15013, "Alberta"], [ 15015, "Saskatchewan"], [ 15017, "Northwest"], [ 15019, "Rupert's Land"], [ 15020, "Manitoba"], [ 15021, "Red River"], [ 15030, "Ontario/Upper Canada"], [ 15031, "Upper Canada"], [ 15032, "Canada West"], [ 15040, "New Brunswick"], [ 15050, "Nova Scotia"], [ 15051, "Cape Breton"], [ 15052, "Halifax"], [ 15060, "Prince Edward Island"], [ 15070, "Newfoundland"], [ 15080, "French Canada"], [ 15081, "Quebec"], [ 15082, "Lower Canada"], [ 15083, "Canada East"], [ 15500, "St. Pierre and Miquelon"], [ 16000, "Atlantic Islands"], [ 16010, "Bermuda"], [ 16020, "Cape Verde"], [ 16030, "Falkland Islands"], [ 16040, "Greenland"], [ 16050, "St. Helena and Ascension"], [ 16060, "Canary Islands"], [ 19900, "North America, n.s. / n.e.c."], [ 20000, "Mexico"], [ 21000, "Central America"], [ 21010, "Belize/British Honduras"], [ 21020, "Costa Rica"], [ 21030, "El Salvador"], [ 21040, "Guatemala"], [ 21050, "Honduras"], [ 21060, "Nicaragua"], [ 21070, "Panama"], [ 21071, "Canal Zone"], [ 21090, "Central America, n.s."], [ 25000, "Cuba"], [ 26000, "West Indies"], [ 26010, "Dominican Republic"], [ 26020, "Haiti"], [ 26030, "Jamaica"], [ 26040, "British West Indies"], [ 26041, "Anguilla"], [ 26042, "Antigua-Barbuda"], [ 26043, "Bahamas"], [ 26044, "Barbados"], [ 26045, "British Virgin Islands"], [ 26046, "Anegada"], [ 26047, "Cooper"], [ 26048, "Jost Van Dyke"], [ 26049, "Peter"], [ 26050, "Tortola"], [ 26051, "Virgin Gorda"], [ 26052, "British Virgin Islands, n.s./ n.e.c."], [ 26053, "Cayman Isles"], [ 26054, "Dominica"], [ 26055, "Grenada"], [ 26056, "Montserrat"], [ 26057, "St. Kitts-Nevis"], [ 26058, "St. Lucia"], [ 26059, "St. Vincent"], [ 26060, "Trinidad and Tobago"], [ 26061, "Turks and Caicos"], [ 26069, "British West Indies, n.s./ n.e.c."], [ 26070, "Other West Indies"], [ 26071, "Aruba"], [ 26072, "Netherlands Antilles"], [ 26073, "Bonaire"], [ 26074, "Curacao"], [ 26075, "Dutch St. Maarten"], [ 26076, "Saba"], [ 26077, "St. Eustatius"], [ 26079, "Dutch Caribbean, n.s./ n.e.c."], [ 26080, "French St. Maarten"], [ 26081, "Guadeloupe"], [ 26082, "Martinique"], [ 26083, "St. Barthelemy"], [ 26089, "French Caribbean, n.s."], [ 26090, "Antilles, n.s."], [ 26091, "Caribbean, n.s. / n.e.c."], [ 26092, "Latin America, n.s."], [ 26093, "Leeward Islands, n.s."], [ 26094, "West Indies, n.s."], [ 26095, "Windward Islands, n.s."], [ 29900, "Americas, n.s."], [ 30000, "SOUTH AMERICA"], [ 30005, "Argentina"], [ 30010, "Bolivia"], [ 30015, "Brazil"], [ 30020, "Chile"], [ 30025, "Colombia"], [ 30030, "Ecuador"], [ 30035, "French Guiana"], [ 30040, "Guyana/British Guiana"], [ 30045, "Paraguay"], [ 30050, "Peru"], [ 30055, "Suriname"], [ 30060, "Uruguay"], [ 30065, "Venezuela"], [ 30090, "South America, n.s."], [ 30091, "South and Central America, n.s."], [ 40000, "Denmark"], [ 40010, "Faroe Islands"], [ 40100, "Finland"], [ 40200, "Iceland"], [ 40300, "Lapland, n.s."], [ 40400, "Norway"], [ 40410, "Svalbard and Jan Meyen"], [ 40411, "Svalbard"], [ 40412, "Jan Meyen"], [ 40500, "Sweden"], [ 41000, "England"], [ 41010, "Channel Islands"], [ 41011, "Guernsey"], [ 41012, "Jersey"], [ 41020, "Isle of Man"], [ 41100, "Scotland"], [ 41200, "Wales"], [ 41300, "United Kingdom, n.s./ n.e.c."], [ 41400, "Ireland"], [ 41410, "Northern Ireland"], [ 41900, "Northern Europe, n.s."], [ 42000, "Belgium"], [ 42100, "France"], [ 42110, "Alsace-Lorraine"], [ 42111, "Alsace"], [ 42112, "Lorraine"], [ 42200, "Liechtenstein"], [ 42300, "Luxembourg"], [ 42400, "Monaco"], [ 42500, "Netherlands"], [ 42600, "Switzerland"], [ 42900, "Western Europe, n.s."], [ 43000, "Albania"], [ 43100, "Andorra"], [ 43200, "Gibraltar"], [ 43300, "Greece"], [ 43310, "Dodecanese Islands"], [ 43320, "Turkey Greece"], [ 43330, "Macedonia"], [ 43400, "Italy"], [ 43500, "Malta"], [ 43600, "Portugal"], [ 43610, "Azores"], [ 43620, "Madeira Islands"], [ 43630, "Cape Verde Islands"], [ 43640, "St. Miguel"], [ 43700, "San Marino"], [ 43800, "Spain"], [ 43900, "Vatican City"], [ 44000, "Southern Europe, n.s."], [ 45000, "Austria"], [ 45010, "Austria-Hungary"], [ 45020, "Austria-Graz"], [ 45030, "Austria-Linz"], [ 45040, "Austria-Salzburg"], [ 45050, "Austria-Tyrol"], [ 45060, "Austria-Vienna"], [ 45070, "Austria-Kaernten"], [ 45080, "Austria-Neustadt"], [ 45100, "Bulgaria"], [ 45200, "Czechoslovakia"], [ 45210, "Bohemia"], [ 45211, "Bohemia-Moravia"], [ 45212, "Slovakia"], [ 45213, "Czech Republic"], [ 45300, "Germany"], [ 45301, "Berlin"], [ 45302, "West Berlin"], [ 45303, "East Berlin"], [ 45310, "West Germany, n.e.c."], [ 45311, "Baden"], [ 45312, "Bavaria"], [ 45313, "Braunschweig"], [ 45314, "Bremen"], [ 45315, "Hamburg"], [ 45316, "Hanover"], [ 45317, "Hessen"], [ 45318, "Hesse-Nassau"], [ 45319, "Lippe"], [ 45320, "Lubeck"], [ 45321, "Oldenburg"], [ 45322, "Rhineland"], [ 45323, "Schaumburg-Lippe"], [ 45324, "Schleswig"], [ 45325, "Sigmaringen"], [ 45327, "Westphalia"], [ 45328, "Wurttemberg"], [ 45329, "Waldecker"], [ 45330, "Wittenberg"], [ 45331, "Frankfurt"], [ 45332, "Saarland"], [ 45333, "Nordheim-Westfalen"], [ 45340, "East Germany, n.e.c."], [ 45341, "Anhalt"], [ 45342, "Brandenburg"], [ 45344, "Kingdom of Saxony"], [ 45345, "Mecklinburg"], [ 45346, "Saxony"], [ 45347, "Thuringian States"], [ 45350, "Probable Saxony"], [ 45351, "Schwerin"], [ 45353, "Probably Thuringian States"], [ 45360, "Prussia, n.e.c."], [ 45361, "Hohenzollern"], [ 45362, "Niedersachsen"], [ 45400, "Hungary"], [ 45500, "Poland"], [ 45510, "Austrian Poland"], [ 45511, "Galicia"], [ 45520, "German Poland"], [ 45521, "East Prussia"], [ 45522, "Pomerania"], [ 45523, "Posen"], [ 45524, "Prussian Poland"], [ 45525, "Silesia"], [ 45526, "West Prussia"], [ 45530, "Russian Poland"], [ 45600, "Romania"], [ 45610, "Transylvania"], [ 45700, "Yugoslavia"], [ 45710, "Croatia"], [ 45720, "Montenegro"], [ 45730, "Serbia"], [ 45740, "Bosnia"], [ 45750, "Dalmatia"], [ 45760, "Slovonia"], [ 45770, "Carniola"], [ 45780, "Slovenia"], [ 45790, "Kosovo"], [ 45800, "Central Europe, n.s."], [ 45900, "Eastern Europe, n.s."], [ 46000, "Estonia"], [ 46100, "Latvia"], [ 46200, "Lithuania"], [ 46300, "Baltic States, n.s."], [ 46500, "Other USSR/Russia"], [ 46510, "Byelorussia"], [ 46520, "Moldavia"], [ 46521, "Bessarabia"], [ 46530, "Ukraine"], [ 46540, "Armenia"], [ 46541, "Azerbaijan"], [ 46542, "Republic of Georgia"], [ 46543, "Kazakhstan"], [ 46544, "Kirghizia"], [ 46545, "Tadzhik"], [ 46546, "Turkmenistan"], [ 46547, "Uzbekistan"], [ 46548, "Siberia"], [ 46590, "USSR, n.s./n.e.c."], [ 49900, "Europe, n.s."], [ 50000, "China"], [ 50010, "Hong Kong"], [ 50020, "Macau"], [ 50030, "Mongolia"], [ 50040, "Taiwan"], [ 50100, "Japan"], [ 50200, "Korea"], [ 50210, "North Korea"], [ 50220, "South Korea"], [ 50900, "East Asia, n.s."], [ 51000, "Brunei"], [ 51100, "Cambodia (Kampuchea)"], [ 51200, "Indonesia"], [ 51210, "East Indies"], [ 51220, "East Timor"], [ 51300, "Laos"], [ 51400, "Malaysia"], [ 51500, "Philippines"], [ 51600, "Singapore"], [ 51700, "Thailand"], [ 51800, "Vietnam"], [ 51900, "Southeast Asia, n.s."], [ 51910, "Indochina, n.s."], [ 52000, "Afghanistan"], [ 52100, "India"], [ 52110, "Bangladesh"], [ 52120, "Bhutan"], [ 52130, "Burma (Myanmar)"], [ 52140, "Pakistan"], [ 52150, "Sri Lanka (Ceylon)"], [ 52200, "Iran"], [ 52300, "Maldives"], [ 52400, "Nepal"], [ 53000, "Bahrain"], [ 53100, "Cyprus"], [ 53200, "Iraq"], [ 53210, "Mesopotamia"], [ 53300, "Iraq/Saudi Arabia"], [ 53400, "Israel/Palestine"], [ 53410, "Gaza Strip"], [ 53420, "Palestine"], [ 53430, "West Bank"], [ 53440, "Israel"], [ 53500, "Jordan"], [ 53600, "Kuwait"], [ 53700, "Lebanon"], [ 53800, "Oman"], [ 53900, "Qatar"], [ 54000, "Saudi Arabia"], [ 54100, "Syria"], [ 54200, "Turkey"], [ 54210, "European Turkey"], [ 54220, "Asian Turkey"], [ 54300, "United Arab Emirates"], [ 54400, "Yemen Arab Republic (North)"], [ 54500, "Yemen, PDR (South)"], [ 54600, "Persian Gulf States, n.s."], [ 54700, "Middle East, n.s."], [ 54800, "Southwest Asia, n.e.c./n.s."], [ 54900, "Asia Minor, n.s."], [ 55000, "South Asia, n.e.c."], [ 59900, "Asia, n.e.c./n.s."], [ 60000, "AFRICA"], [ 60010, "Northern Africa"], [ 60011, "Algeria"], [ 60012, "Egypt/United Arab Rep."], [ 60013, "Libya"], [ 60014, "Morocco"], [ 60015, "Sudan"], [ 60016, "Tunisia"], [ 60017, "Western Sahara"], [ 60019, "North Africa, n.s."], [ 60020, "Benin"], [ 60021, "Burkina Faso"], [ 60022, "Gambia"], [ 60023, "Ghana"], [ 60024, "Guinea"], [ 60025, "Guinea-Bissau"], [ 60026, "Ivory Coast"], [ 60027, "Liberia"], [ 60028, "Mali"], [ 60029, "Mauritania"], [ 60030, "Niger"], [ 60031, "Nigeria"], [ 60032, "Senegal"], [ 60033, "Sierra Leone"], [ 60034, "Togo"], [ 60038, "Western Africa, n.s."], [ 60039, "French West Africa, n.s."], [ 60040, "British Indian Ocean Territory"], [ 60041, "Burundi"], [ 60042, "Comoros"], [ 60043, "Djibouti"], [ 60044, "Ethiopia"], [ 60045, "Kenya"], [ 60046, "Madagascar"], [ 60047, "Malawi"], [ 60048, "Mauritius"], [ 60049, "Mozambique"], [ 60050, "Reunion"], [ 60051, "Rwanda"], [ 60052, "Seychelles"], [ 60053, "Somalia"], [ 60054, "Tanzania"], [ 60055, "Uganda"], [ 60056, "Zambia"], [ 60057, "Zimbabwe"], [ 60058, "Bassas da India"], [ 60059, "Europa"], [ 60060, "Gloriosos"], [ 60061, "Juan de Nova"], [ 60062, "Mayotte"], [ 60063, "Tromelin"], [ 60064, "Eastern Africa, n.e.c./n.s."], [ 60065, "Eritrea"], [ 60070, "Central Africa:"], [ 60071, "Angola"], [ 60072, "Cameroon"], [ 60073, "Central African Republic"], [ 60074, "Chad"], [ 60075, "Congo"], [ 60076, "Equatorial Guinea"], [ 60077, "Gabon"], [ 60078, "Sao Tome and Principe"], [ 60079, "Zaire"], [ 60080, "Central Africa, n.s."], [ 60081, "Equatorial Africa, n.s."], [ 60082, "French Equatorial Africa, n.s."], [ 60090, "Southern Africa:"], [ 60091, "Botswana"], [ 60092, "Lesotho"], [ 60093, "Namibia"], [ 60094, "South Africa (Union of)"], [ 60095, "Swaziland"], [ 60096, "Southern Africa, n.s."], [ 60099, "Africa, n.s./n.e.c."], [ 70000, "Australia and New Zealand"], [ 70010, "Australia"], [ 70011, "Ashmore and Cartier Islands"], [ 70012, "Coral Sea Islands Territory"], [ 70013, "Christmas Island"], [ 70014, "Cocos Islands"], [ 70020, "New Zealand"], [ 71000, "Pacific Islands"], [ 71010, "New Caledonia"], [ 71012, "Papua New Guinea"], [ 71013, "Solomon Islands"], [ 71014, "Vanuatu (New Hebrides)"], [ 71015, "Fiji"], [ 71016, "Melanesia, n.s."], [ 71017, "Norfolk Islands"], [ 71018, "Niue"], [ 71020, "Cook Islands"], [ 71022, "French Polynesia"], [ 71023, "Tonga"], [ 71024, "Wallis and Futuna Islands"], [ 71025, "Western Samoa"], [ 71026, "Pitcairn Island"], [ 71027, "Tokelau"], [ 71028, "Tuvalu"], [ 71029, "Polynesia, n.s."], [ 71032, "Kiribati"], [ 71033, "Canton and Enderbury"], [ 71034, "Nauru"], [ 71039, "Micronesia, n.s."], [ 71040, "US Pacific Trust Territories:"], [ 71041, "Marshall Islands"], [ 71042, "Micronesia"], [ 71043, "Kosrae"], [ 71044, "Pohnpei"], [ 71045, "Truk"], [ 71046, "Yap"], [ 71047, "Northern Mariana Islands"], [ 71048, "Palau"], [ 71049, "Pacific Trust Territories, n.s."], [ 71050, "Clipperton Island"], [ 71090, "Oceania, n.s./n.e.c."], [ 80000, "ANTARTICA, n.s./n.e.c."], [ 80010, "Bouvet Islands"], [ 80020, "British Antarctic Terr."], [ 80030, "Dronning Maud Land"], [ 80040, "French Southern and Antartic Lands"], [ 80050, "Heard and McDonald Islands"], [ 90000, "ABROAD (unknown) or at sea"], [ 90010, "Abroad, n.s."], [ 90011, "Abroad (US citizen)"], [ 90020, "At sea"], [ 90021, "At sea (US citizen)"], [ 90022, "At sea or abroad (U.S. citizen)"], [ 95000, "OTHER, n.e.c."], [ 99700, "Unknown"], [ 99800, "Illegible"], [ 99900, "Missing/blank"], [ 99999, "99999"]] state_fips_1940_list = [[ 1, "Alabama"], [ 2, "Alaska"], [ 4, "Arizona"], [ 5, "Arkansas"], [ 6, "California"], [ 8, "Colorado"], [ 9, "Connecticut"], [ 10, "Delaware"], [ 11, "District of Columbia"], [ 12, "Florida"], [ 13, "Georgia"], [ 15, "Hawaii"], [ 16, "Idaho"], [ 17, "Illinois"], [ 18, "Indiana"], [ 19, "Iowa"], [ 20, "Kansas"], [ 21, "Kentucky"], [ 22, "Louisiana"], [ 23, "Maine"], [ 24, "Maryland"], [ 25, "Massachusetts"], [ 26, "Michigan"], [ 27, "Minnesota"], [ 28, "Mississippi"], [ 29, "Missouri"], [ 30, "Montana"], [ 31, "Nebraska"], [ 32, "Nevada"], [ 33, "New Hampshire"], [ 34, "New Jersey"], [ 35, "New Mexico"], [ 36, "New York"], [ 37, "North Carolina"], [ 38, "North Dakota"], [ 39, "Ohio"], [ 40, "Oklahoma"], [ 41, "Oregon"], [ 42, "Pennsylvania"], [ 44, "Rhode Island"], [ 45, "South Carolina"], [ 46, "South Dakota"], [ 47, "Tennessee"], [ 48, "Texas"], [ 49, "Utah"], [ 50, "Vermont"], [ 51, "Virginia"], [ 53, "Washington"], [ 54, "West Virginia"], [ 55, "Wisconsin"], [ 56, "Wyoming"], [ 61, "Maine-New Hampshire-Vermont"], [ 62, "Massachusetts-Rhode Island"], [ 63, "Minnesota-Iowa-Missouri-Kansas-Nebraska-S. Dakota-N. Dakota"], [ 64, "Maryland-Delaware"], [ 65, "Montana-Idaho-Wyoming"], [ 66, "Utah-Nevada"], [ 67, "Arizona-New Mexico"], [ 68, "Alaska-Hawaii"], [ 72, "Puerto Rico"], [ 78, "Virgin Islands (in 1990 internal census data)"], [ 93, "Dakota Territory"], [ 94, "Indian Territory"], [ 97, "Overseas Military Installations"], [ 99, "State not identified"], ] # Now compile all of this into dictionaries global state_fips_1940 global genders_1940 global ethnicities_1940 global birthplaces_1940 state_fips_1940 = dict() genders_1940 = dict() ethnicities_1940 = dict() birthplaces_1940 = dict() for pair in state_fips_1940_list: state_fips_1940[pair[0]] = pair[1] for pair in genders_1940_list: genders_1940[pair[0]] = pair[1] for pair in ethnicities_1940_list: ethnicities_1940[pair[0]] = pair[1] for pair in birthplaces_1940_list: birthplaces_1940[pair[0]] = pair[1] def compile_US_states_and_counties(): # Compile a RE list for US state codes global state_name global state_code global RE_ages state_code = dict() state_name = dict() for pair in US_states: # Get state code (first element) and state name (second element) sc = pair[0].lower() sn = pair[1].lower() state_code[sn] = sc state_name[sc] = sn global county_fips county_fips = dict() for pair in US_counties: # Get state code and county (first element) and county FIPS (second element county_fips[pair[0]] = pair[1] global icpsr_fips icpsr_fips = dict() for pair in ICPSR_counties: # Get state code and county (first element) and county FIPS (second element in the pair, normalized to today) icpsr_fips[pair[0]] = pair[1] # Define a regular epxression for matching states with birth place RE_ages = re.compile("^((0)|([1-9][0-9]?[0-9]?))$") global RE_US_state_codes RE_US_state_codes = re.compile("^(" + ")|(".join(state_name.keys()) + ")$", re.IGNORECASE) global RE_US_state_names RE_US_state_names = re.compile("^(" + ")|(".join(state_code.keys()) + ")$", re.IGNORECASE) ###################### ###################### ## indexes for text file data handling ###################### ###################### class indexes: # shared by all pid_title = 'pid' gender_title = 'self_empty_info_gender' ethnicity_title = 'self_empty_info_race' age_title = 'self_residence_info_age' birthplace_title = 'self_birth_place_empty' last_name_title = 'self_empty_name_surname' first_name_title = 'self_empty_name_given' occupation_title = 'self_empty_info_occupation' industry_title = '' emp_title = '' res_state_title = 'self_residence_place_state' res_county_title = 'self_residence_place_county' def __init__(self, year): self.year = year if (year == 1940): self.last_name_index = 26 self.first_name_index= 25 self.gender_index = 31 self.ethnicity_index = 32 self.age_index = 33 self.birthplace_index= 38 self.occupation_index= 51 self.occupation_title= "general_occupation" elif (year == 1930): if (machine == "laptop" or machine == "desktop"): # Code for Miguel's version of the 1930 data self.last_name_index = 2 self.first_name_index= 3 self.age_index = 13 self.ethnicity_index = 14 self.birthplace_index= 15 self.gender_index = 22 self.occupation_index= 106 self.res_state_index = 5 self.res_county_index = 4 self.pid_index = 74 self.industry_index = 107 self.emp_index = 110 self.res_state_title = "general_StateAbb" self.pid_title = 'general_UNIQUE_IDENTIFIER' self.industry_title = 'general_industry' self.emp_title = 'general_employment' elif (machine == "unc_cluster"): self.last_name_index = 11 self.first_name_index= 12 self.age_index = 18 self.ethnicity_index = 19 self.birthplace_index= 20 self.gender_index = 25 self.occupation_index= 109 self.res_state_index = 5 self.res_county_index = 6 self.pid_index = 4 self.industry_index = 110 self.emp_index = 113 self.res_state_title = "self_residence_place_state" self.pid_title = 'pid' self.industry_title = 'general_industry' self.emp_title = 'general_employment' elif (year == 1920): # In 1920, the first and last name are swapped from IPUMS # Update this with new data file! # raise Exception("verify year 1920") # self.first_name_title = "self_empty_name_surname" # self.last_name_title = "self_empty_name_given" self.pid_index = 0 self.last_name_index = 4 self.first_name_index = 5 self.res_state_index = 8 self.res_county_index = 9 self.age_index = 15 self.ethnicity_index = 16 self.gender_index = 17 self.birthplace_index = 20 self.occupation_index = 79 self.industry_index = 80 # Different occupation name in 1920 self.occupation_title = 'indexed_occupation' self.industry_title = 'indexed_industry' self.pid_title = "PID" elif (year == 1910): self.first_name_index = 5 self.last_name_index = 6 self.age_index = 16 self.ethnicity_index = 17 self.gender_index = 18 self.birthplace_index = 21 elif (year == 1900): self.age_index = 11 self.gender_index = 45 self.ethnicity_index = 43 self.birthplace_index = 27 else: raise Exception("UnsupportedYear") ###################### ###################### ## Person class for ## name comparison ###################### ###################### class person: # Default the text line to none, in which case it returns the header (for printout and extraction) def __init__(self, year, text_line = None): if (text_line == None): self.year = year self.pid = "pid" self.first_name = "first_name" self.last_name = "last_name" self.birthplace = "birthplace" self.ethnicity = "ethnicity" self.gender = "gender" self.res_state = "res_state" self.res_county = "res_county" self.age = "age" self.occstr = "occstr" self.indstr = "indstr" self.occ1950 = "occ1950" self.ind1950 = "ind1950" self.occ1940 = "occ1940" self.ind1940 = "ind1940" self.wage = "wage" self.classwkr = "classwkr" self.valueh = "housevalue" self.ownershp = "ownershp" self.occupation = "occupation" self.industry = "industry" self.employment = "employment" else: if (year == 1940): # The file structure for the 1940b revision is different and does # not use indexes as the other years # but fixed witch delimiting self.year = year self.pid = "0" # Identifiers self.first_name = text_line[1708:1724] self.last_name = text_line[1692:1708] # Get the data, recode it if possible, and put into lower case birthplace = text_line[68:73]; if (int(birthplace) in birthplaces_1940): birthplace = birthplaces_1940[int(birthplace)] self.birthplace = birthplace.lower() self.age = text_line[53:56] # Get the data, recode it if possible, and put into lower case ethnicity = text_line[57:60] if (int(ethnicity) in ethnicities_1940): ethnicity = ethnicities_1940[int(ethnicity)] self.ethnicity = ethnicity.lower() # Get the data, recode it if possible, and put into lower case gender = text_line[56:57] if (int(gender) in genders_1940): gender = genders_1940[int(gender)] self.gender = gender.lower() # More information self.classwkr = text_line[124:126] # Residence self.res_state = current_state_1940 self.res_county = current_county_1940 self.valueh = current_valueh_1940 self.ownershp = current_ownershp_1940 # These two lines are only for Household records, not personal records # res_state = text_line[36:38] # res_county = text_line[1134:1138] # Occupation and employment self.occupation = text_line[645:697] self.industry = text_line[2310:2313] self.employment = text_line[111:113] self.occ1950 = text_line[114:117] self.ind1950 = text_line[121:124] # Income self.wage = text_line[147:153] # Other relevant variables for frequency table # qocc = text_line[295] # qind = text_line[283] # indstr = text_line[1724:1768] self.occ1940 = text_line[2307:2310] self.ind1940 = text_line[2310:2313] ''' Copied from this excerpt of IPUMS' stata code, usa1940_b.do notice that the first number gets -1 (Python starts at 0, Stata at 1) but not the second number: a python slice does not include the last character long incwage 148-153 /// str namefrst 1709-1724 /// str namelast 1693-1708 /// long bpl 69-73 /// int age 54-56 /// int race 58-60 /// byte sex 57-57 /// byte statefip 37-38 /// int county 1135-1138 /// str ind1940 2311-2313 /// byte empstat 112-113 /// int occ1950 115-117 /// byte qocc 296-296 /// str occstr 646-697 /// int ind1950 122-124 /// byte qind 284-284 /// str indstr 1725-1768 /// str occ1940 2308-2310 /// str ind1940 2311-2313 /// byte classwkr 125-126 /// long valueh 1076-1082 /// byte ownershp 80-81 /// ''' # Problem: most of these come coded to save space! So I will have to uncode them and I have # to do it here because Stata doesn't have enough power else: details = text_line.split(tab_delimiter) ind = indexes(year) self.year = year # Ancestry identifiers self.pid = details[ind.pid_index] # Identifiers first_name = details[ind.first_name_index] if (0): # Split first name into given name and middle name space_index = string.find(first_name, " ") if (space_index != -1): middle_name = first_name[space_index+1:] first_name = first_name[:space_index] else: middle_name = "" self.middle_name = string.lower(middle_name) self.first_name = string.lower(first_name) else: self.first_name = first_name self.last_name = details[ind.last_name_index] self.birthplace = details[ind.birthplace_index] self.age = details[ind.age_index] self.ethnicity = details[ind.ethnicity_index] self.gender = details[ind.gender_index] # Residence state (as 2-letter code) state_info = details[ind.res_state_index] if (year == 1920 or year == 1930): # In 1920, state is entered with name, so transform it into a code if (state_info in state_code): self.res_state = state_code[state_info] else: self.res_state = state_info # Get county fips code from state and county name county_name = details[ind.res_county_index] temp = self.res_state + "_" + county_name if (temp in county_fips): self.res_county = county_fips[temp] else: self.res_county = county_name # Backup original value self.debug = county_name # Occupation and employment self.occupation = details[ind.occupation_index] self.industry = details[ind.industry_index] if (self.year == 1930): self.emp = details[ind.emp_index] def to_string(self): return (indent + "First name: " + self.first_name + crlf + \ # indent + "Middle name: " + self.middle_name + crlf + \ indent + "Last name: " + self.last_name + crlf + \ indent + "Age: " + self.age + crlf + \ indent + "Birthplace: " + self.birthplace + crlf + \ indent + "Ethnicity: " + self.ethnicity + crlf+ \ indent + "Gender: " + self.gender + crlf + \ indent + "Occupation: " + self.occupation + crlf) def encode_names(self): self.first_name_nysiis = jellyfish.nysiis(self.first_name) self.last_name_nysiss = jellyfish.nysiis(last_name) def extract(self): vars = [self.pid, self.last_name, self.first_name, self.birthplace, self.res_state, self.res_county, self.age, self.ethnicity, self.occupation] if (self.year == 1930): vars = vars + [self.emp, self.industry] elif (self.year == 1920): vars = vars + [self.industry] elif (self.year == 1940): vars = vars + [self.occ1950, self.occ1940, self.ind1940, self.ind1950, self.wage, self.classwkr, self.valueh, self.ownershp] # Join all fields temp = tab_delimiter.join(vars) # Clean up single and double quotes in the whole line temp = temp.replace("'", " ") temp = temp.replace('"', ' ') temp = temp.replace("`", " ") temp = temp.replace(" ", " ") temp = temp.replace(" ", " ") temp = temp.lower() return temp ###################### ###################### ## Class to handle file titles ## such as "1920_Male_White_California_15.txt" ###################### ###################### class file_title: delimiter = "_" year_index = 0 gender_index = 1 ethnicity_index = 2 birthplace_index = 3 age_index = 4 def __init__(self, filename): purged_filename = filename[string.rfind(filename,slash):-1] purged_filename = purged_filename[1:string.find(purged_filename,".")] self.title = purged_filename details = purged_filename.split(self.delimiter) if (details[self.year_index] == ""): printout("Problem for file: '" + filename + "'") printout("Purged = '" + purged_filename + "'") self.year = int(details[self.year_index]) self.gender = details[self.gender_index] self.ethnicity = details[self.ethnicity_index] self.birthplace = details[self.birthplace_index] self.age = details[self.age_index] def equals(self,f2): try: age1 = int(self.age) age2 = int(f2.age) # Compare four attributes of these file headers return ((self.gender == f2.gender) & (self.ethnicity == f2.ethnicity) & (self.birthplace == f2.birthplace) & (self.year - age1 == f2.year - age2)) except: return False ##################### ## I/O functions ##################### def filename(file): return file[file.rfind(slash)+1:] ###################### ###################### ## Verify header of each files ###################### ###################### def verify_header(header, year): if (year == 1940): printout("Year 1940 has different format and headers were NOT verified") return False # Load indexes and titles for this year ind = indexes(year) # Split details = header.split("|") # Import all details: pid = details[ind.pid_index] if not(pid == ind.pid_title): printout("Problem with pid: read '"+pid+"' and was expecting '"+ind.pid_title + "'") raise Exception("Check header files") gender = details[ind.gender_index] if not(gender == ind.gender_title): printout("Problem with gender: read '"+gender+"' and was expecting '"+ind.gender_title + "'") raise Exception("Check header files") ethnicity = details[ind.ethnicity_index] if not(ethnicity == ind.ethnicity_title): printout("Problem with ethnicity: read '"+ethnicity+"' and was expecting "+ind.ethnicity_title + "'") raise Exception("Check header files") age = details[ind.age_index] if not(age == ind.age_title): printout("Problem with age: read '"+age+"' and was expecting '"+ind.age_title + "'") raise Exception("Check header files") birthplace = details[ind.birthplace_index] if not(birthplace == ind.birthplace_title): printout("Problem with birthplace: read '"+birthplace+"' and was expecting "+ind.birthplace_title + "'") raise Exception("Check header files") last_name = details[ind.last_name_index] if not(last_name == ind.last_name_title): printout("Problem with last_name: read '"+last_name+"' and was expecting '"+ind.last_name_title + "'") raise Exception("Check header files") first_name = details[ind.first_name_index] if not(first_name == ind.first_name_title): printout("Problem with first_name: read '"+first_name+"' and was expecting "+ind.first_name_title + "'") raise Exception("Check header files") occupation = details[ind.occupation_index] if not(occupation == ind.occupation_title): printout("Problem with occupation: read '"+occupation+"' and was expecting '"+ind.occupation_title + "'") raise Exception("Check header files") industry = details[ind.industry_index] if not(industry == ind.industry_title): printout("Problem with industry: read '"+industry+"' and was expecting '"+ind.industry_title + "'") raise Exception("Check header files") if (year == 1930): emp = details[ind.emp_index] if not(emp == ind.emp_title): printout("Problem with emp: read '"+emp+"' and was expecting '"+ind.emp_title + "'") raise Exception("Check header files") res_state = details[ind.res_state_index] if not(res_state == ind.res_state_title): printout("Problem with res_state: read '"+res_state+"' and was expecting '"+ind.res_state_title + "'") raise Exception("Check header files") res_county = details[ind.res_county_index] if not(res_county == ind.res_county_title): printout("Problem with res_county: read '"+res_county+"' and was expecting '"+ind.res_county_title + "'") raise Exception("Check header files") return True ###################### ###################### # Function to printout(to screen or to file ###################### ###################### def printout(out_line, reset = False, line_break = True): # Wrap the writing to the log folder in a try # because the network sometimes fails and then it stops the whole program try: if (reset): log = open(log_file, "w+") else: log = open(log_file, "a+") log.write(out_line) if (line_break): log.write(crlf) log.close() except: # do nothing bla = 2 finally: if (line_break): print out_line else: sys.stdout.write(out_line) ###################### ###################### ## Write dictionaries to file ###################### ###################### def writeDict(dict, filename, sep): with open(filename, "w+") as f: for the_key in dict.iterkeys(): f.write(the_key + sep + str(dict[the_key]) + crlf) ################################### ################################### ## Read and extract a few lines ################################### ################################### def sampler(year): # Define input and output file (output for extraction of a sample) if (year == 1940): cop_file = root_folder + slash + "umnData" + slash + str(year) + slash + "us1940b_usa.dat" else: cop_file = root_folder + slash + "umnData" + slash + str(year) + slash + "Census" + str(year) + "_NewYork.txt" output_file = common_folder + slash + str(year) + "_sample.txt" # Verify headings for this file print("here") with (open(cop_file)) as cop: for i_cop, old_cop_line in enumerate(cop): if (i_cop == 0): header = old_cop_line if not(verify_header(header, year)): printout("Headers failed!") out = open(output_file, "w+") else: if (i_cop <= 1000): # Only printout(up until 1930, when headers are tab-delimited if (year != 1940): p = person(year, old_cop_line) printout("Line " + str(i_cop) + ": " + crlf + p.to_string()) else: out.close() break out.write(old_cop_line) printout("Sample of " + str(year) + " saved at " + output_file) # Format function for user def format_number(num): num_thousands = int(num / 1000) num_millions = int(num_thousands/ 1000) num_billions = int(num_millions / 1000) num_trillions= int(num_billions / 1000) if (num_trillions > 0): return str(num_trillions) + "T" elif (num_billions > 0): return str(num_billions) + "B" elif (num_millions > 0): return str(num_millions) + "M" elif (num_thousands > 0): return str(num_thousands) + "k" else: return str(num) def format_duration(duration): seconds = duration.total_seconds() hours = int(seconds // 3600) minutes = int((seconds % 3600) // 60) seconds = int(seconds % 60) if (hours == 0): if (minutes == 0): return "{} seconds".format(seconds) else: return ("{}m{}s".format(minutes, seconds)) else: return ("{}h {}m {}s".format(hours, minutes, seconds)) # Folder size def get_folder_size(folder): total_size = os.path.getsize(folder) for item in os.listdir(folder): itempath = os.path.join(folder, item) if os.path.isfile(itempath): total_size += os.path.getsize(itempath) elif os.path.isdir(itempath): total_size += getFolderSize(itempath) return total_size def random_sample(threshold): # Append all lines in file 2, except the first, to file 1 input_folder = "C:\\Users\\mabm3\\Documents\\umnData\\output\\" output_folder = "N:\\morin research\CoP\\output\\" input_file = input_folder + "linked_records.txt" output_file = input_folder + "linked_records_sample.txt" # Read file 1 and remove the first few lines (header and people from Texas that are duplicate) out = open(output_file, "w+") with open(input_file) as f: for i_cop, old_cop_line in enumerate(f): if ((i_cop == 0) | (random.random() < threshold)): out.write(old_cop_line) out.close() # move file os.system("mv " + input_folder + " " + output_folder) print("Done!") def frequency_table1940(): print("Amend script to put frequency first and avoid problems") return folder = root_folder + slash + "umnData" + slash + "1940" input_file = folder + slash + "us1940b_usa.dat" freq_table = dict() line_table = dict() program_start = datetime.now() loop_timer = program_start last_line = 0 with (open(input_file)) as cop: for i_cop, cop_line in enumerate(cop): # Check that this is the record of a person, not a household if (cop_line[0] == "P"): # Check if this line has over 2337 characters: if so, the line is probably bad # The IPUMS Stata code does not use more than 2331 characters, but most lines have 2337 characters line_length = len(cop_line) if (line_length > 2337): print("### Line " +str(i_cop) + " has length " + str(line_length)) print("### line =") printout(cop_line) # Build a frequency table for the length of the lines if (line_length in freq_table): line_table[line_length] += 1 else: line_table[line_length] = 1 # Extract relevant variables occ1950 = cop_line[114:117] qocc = cop_line[295] occstr = cop_line[645:697] ind1950 = cop_line[121:124] qind = cop_line[283] indstr = cop_line[1724:1768] occ1940 = cop_line[2307:2310] ind1940 = cop_line[2310:2313] ''' Copied from this excerpt of IPUMS' stata code, usa1940_b.do notice that the first number gets -1 (Python starts at 0, Stata at 1) but not the second number: a python slice does not include the last character int occ1950 115-117 /// byte qocc 296-296 /// str occstr 646-697 /// int ind1950 122-124 /// byte qind 284-284 /// str indstr 1725-1768 /// str occ1940 2308-2310 /// str ind1940 2311-2313 /// ''' # Clean up occstr and indstr occstr = occstr.replace("'", "") occstr = occstr.replace('"', '') indstr = indstr.replace("'", "") indstr = indstr.replace('"', '') occ1940 = occ1940.replace('"', '') occ1940 = occ1940.replace("'", "") ind1940 = ind1940.replace('"', '') ind1940 = ind1940.replace("'", "") # Display them if (i_cop < 10): #printout("10 characters:" #printout(cop_line[0:9] #printout("whole line" #printout(cop_line # return printout("person " + str(i_cop)) printout("occ1950 = " + occ1950) printout("qocc = " + qocc) printout("occstr = " + occstr) printout("ind1950 = " + ind1950) printout("qind = " + qind) printout("indstr = " + indstr) printout(crlf + crlf) # N-uplet contains all this information nuplet = (occ1950 + tab_delimiter + qocc + tab_delimiter + occstr + tab_delimiter + ind1950 + tab_delimiter + qind + tab_delimiter + indstr + tab_delimiter + occ1940 + tab_delimiter + ind1940) # Add to frequency table if (nuplet in freq_table): freq_table[nuplet] += 1 else: freq_table[nuplet] = 1 # Keep track of time building the table micro_interval = 10000 macro_interval = 100 * micro_interval if ((i_cop % micro_interval == 0) & (i_cop > 0)): new_timer = datetime.now() loop_elapsed = new_timer - loop_timer loop_timer = new_timer # If loop_elapsed is longer than 1 second, # then the line probably has a problem if (loop_elapsed.total_seconds() >= 1): printout("#################################") printout("## Problem") printout("#################################") printout("## Lines " + str(last_line) + " - " + str(i_cop) + ": " + format_duration(loop_elapsed)) printout("#################################") last_line = i_cop if (i_cop % macro_interval == 0): elapsed = new_timer - program_start printout(format_number(i_cop) + " lines: " + format_duration(elapsed)) # break # Save to output frequency table # Create a new file output_file = common_folder + slash + "freq_table.txt" out = open(output_file, "w+") out.write("occ1950" + tab_delimiter + "qocc" + tab_delimiter + "occstr" + tab_delimiter + "ind1950" + tab_delimiter + "qind" + tab_delimiter + "indstr" + tab_delimiter + "occ1940" + tab_delimiter + "ind1940" + tab_delimiter + "frequency" + crlf) for key in freq_table: out.write(key + tab_delimiter + str(freq_table[key]) + crlf) out.close() # Same for line length # Create a new file output_file = common_folder + slash + "line_table.txt" out = open(output_file, "w+") out.write("line_length" + tab_delimiter + "frequency" + crlf) for key in line_table: out.write(str(key) + tab_delimiter + str(line_table[key]) + crlf) out.close() ################################### ## Main function for extracing ## relevant lines from big files ################################### def extractor(years = [1940], verify_headings = True, by = "", overwrite = False): # Initialize a frequency table with count of unique identifiers to make sure it can be relied upon # Initialize time statistics and folders to deal with num_lines = 0 folders_to_treat = dict() folders_size = 0 folders_read = 0 program_start = datetime.now() for year in years: folders_to_treat[year] = root_folder + slash + sub_folder + slash + str(year) + slash folders_size += get_folder_size(folders_to_treat[year]) # Shortcut variable to skip some states at a point when Windows was giving problems. OK = True # Iterate file handling by year for year in years: # In 1940, you don't verify headers (all empty anyway) if (year == 1940): verify_headings = False output_folder = root_folder + slash + sub_folder + slash + str(year) if (by == "residence"): output_folder += "_extracted_res" elif (by == "birthplace"): output_folder += "_extracted_birth" else: printout("No blocking function define (e.g., residence, birthplace). If you are extracting, you'll have an error soon.") output_folder = False # this should give an error when trying to write year_start = datetime.now() # Remove all potential output files if outside of heading verification if (overwrite and not(verify_headings)): printout("Erasing all files in " + output_folder) potential_files = os.path.join(output_folder, "*.txt") filelist = glob.glob(potential_files) for f in filelist: os.remove(f) # Iterate over all input files: 1940 in the desktop is a special case of a single file if ((year == 1940) and not (machine == "laptop")): listing = os.path.join(folders_to_treat[year], '*.dat') else: listing = os.path.join(folders_to_treat[year], '*' + str(year) + '*.txt') for input_file in glob.glob(listing): # Shortcut variable to skip all files until this one, in case the desktop # gives problems #if (filename(input_file) == "Census1930_Michigan.txt"): # OK = True if (OK): state_start = datetime.now() # Communicate with user sys.stdout.write("\r") if (verify_headings): printout("Verifying headings for file: " + filename(input_file)) # Note: actual verification comes down below else: printout("Going into a new file: " + filename(input_file) + ", by " + by) with (open(input_file)) as cop: for i_cop, old_cop_line in enumerate(cop): num_lines += 1 if (year == 1940): # Call the dummy person with the headers then extract it # with the same method as the others (this saves a lot of bugs # in Stata) header_extracted = person(1940).extract() # Verify header or treat as data line? if ((i_cop == 0) & (year != 1940)): header = old_cop_line if not(verify_header(header, year)): printout("Problem with the header file...") return if (verify_headings): break # Compile the header for extraction header = person(year, old_cop_line) header_extracted = header.extract() else: cop_line = (old_cop_line.lower()).strip(crlf) # If 1940, check if this is a data line (note: it's all lower-case now!) if (year == 1940): hh_record = (cop_line[0] == "h") if (hh_record): # Update residence state and county # These two lines are only for Household records, not personal records res_state = cop_line[36:38] res_county = cop_line[1134:1138] # Use dictionaries to turn into string global current_state_1940 if (int(res_state) in state_fips_1940): # From FIPS to name current_state_1940 = state_fips_1940[int(res_state)] # from name to code current_state_1940 = state_code[current_state_1940.lower()] else: current_state_1940 = res_state # County in 1940 is from ICPSR codes, which I transform into FIPS codes if possible global current_county_1940 # Transform this from ICPSR county code into FIPS code temp = current_state_1940 + "_" + str(int(res_county)) if (temp in icpsr_fips): current_county_1940 = icpsr_fips[temp] else: current_county_1940 = "i" + res_county global current_valueh_1940 current_valueh_1940 = cop_line[1075:1082] global current_ownershp_1940 current_ownershp_1940 = cop_line[79:81] else: hh_record = False # Read the line in years other then 1940, or if it's not a HH record if not((year == 1940 ) & hh_record): # Remove carriage return at the end ''' test = "ABCDE" + crlf cop_line = test.lower() cop_line = test.strip(crlf) cop_line = test.strip(crlf).lower() cop_line = test.lower().strip(crlf) cop_line = (test.lower()).strip(crlf) cop_line = (test.strip(crlf)).lower() ''' # Load a person p = person(year, cop_line) # Debug # if (i_cop < 10): # printout(p.to_string() if (p.ethnicity == "w"): p.ethnicity = "white" # Handle age try: age_int = int(p.age) except ValueError: age_int = -1 finally: bla = 1 # Treat this person depending on split # by residence or birth state if (by == "residence"): US_residence = RE_US_state_codes.match(p.res_state) if (not(US_residence)): state_filename = "other" else: state_filename = US_residence.group().lower() # I add lowwer because the regular expression ignores the case but still returns # uperr case if the original is upper case # by residence: keep whole population to_keep = True output_file_name = output_folder + slash + str(year) + "_" + state_filename + ".txt" else: # check if gender is standardized other than 1930 and 1940 if (year != 1940): if not(p.gender == "male" or p.gender == "female" or p.gender == "" or p.gender == "?" or p.gender == "??" or p.gender == "unknown" or p.gender == "true" or p.gender == "false"): printout("*** Unknown gender: '"+ p.gender + "'", line_break = True) # Project with {Sevi and Maia} and {Rowena and Paul}: all the same sample, then restrict in Stata to_keep = ((p.gender == "male") & (age_int >= 15) & (age_int <= 60)) if (to_keep): # Replace common birthplace names for 1940 in the cross-section # Most of these territories that later became states have had # stable boundaries since after the Civil War, around 1866. # Someone born before 1866 could have been born in a location outside # of present boundaries if he was at least 54 years old in 1920 # (personal note: Miguel can live with that with no problem). # For the linked sample, these drop out because they would be 66 years # old in 1930 and out of the sample # Arizona and New Mexico: stable since 1866, statehood in 1912 if (p.birthplace == "arizona territory"): p.birthplace = "arizona" if (p.birthplace == "new mexico territory"): p.birthplace = "new mexico" # Utah territory: stable after 1866, statehood in 1896 if (p.birthplace == "utah territory"): p.birthplace = "utah" # Colorado: statehood in 1876, so there should be none here # Idaho, Montana, and Wyoming: stable since 1868, statehood in 1890 (ID & WY), 1889 (MT) if (p.birthplace == "montana territory"): p.birthplace = "montana" if (p.birthplace == "idaho territory"): p.birthplace = "idaho" if (p.birthplace == "wyoming territory"): p.birthplace = "wyoming" # Washington; stable since 1863, statehood in 1889 if (p.birthplace == "washington territory"): p.birthplace = "washington" # Oregon: statehood in 1859, no need to correct # Elsewhere in the world: if (p.birthplace == "irish free state" or p.birthplace == "northern ireland"): p.birthplace = "ireland" if (p.birthplace == "holland"): p.birthplace = "netherlands" if (p.birthplace == "ussr" or p.birthplace == "other ussr/russia"): p.birthplace = "russia" if (p.birthplace == "english canada" or p.birthplace == "canada english" or p.birthplace == "canada french" or p.birthplace == "french canada" or p.birthplace == "nova scotia"): p.birthplace = "canada" if (p.birthplace == "azores"): p.birthplace = "portugal" if (p.birthplace == "bohemia"): p.birthplace = "czechoslovakia" # Poland was created in 1919 and was before part of russia if (p.birthplace == "poland russia" or p.birthplace == "galicia"): p.birthplace = "poland" if (p.birthplace == "slovakland"): p.birthplace = "slovakia" # Split by birthplace: US states (coded with initials) US_birth = re.match(RE_US_state_names.pattern, p.birthplace, re.IGNORECASE) if not(US_birth): # or other common countries; threshold = 20k people in any year other_birth = re.match( "(russia)|(germany)|(czechoslovakia)|(hungary)|(greece)|(netherlands)" + "|(italy)|(france)|(norway)|(scotland)|(ireland)|(finland)|(denmark)" + "|(mexico)|(spain)|(yugoslavia)|(puerto rico)|(poland)|(england)|(canada)" + "|(austria)|(sweden)|(lithuania)|(romania)|(switzerland)|(portugal)"+ "|(turkey)|(syria)|(belgium)|(armenia)|(slovakia)" + "|(wales)|(croatia)", p.birthplace, re.IGNORECASE ) if (other_birth): birthplace_filename = other_birth.group().lower() else: birthplace_filename = "other" else: birthplace_filename = state_code[US_birth.group().lower()] output_file_name = output_folder + slash + str(year) + "_" + birthplace_filename + ".txt" if (to_keep): # Produce line with relevant variables only # Check if file exists, otherwise initialize it with the header if not(os.path.exists(output_file_name)): # Create a new file out = open(output_file_name, "w+") out.write(header_extracted + crlf) else: # Append these details to the right file out = open(output_file_name, "a+") # Write the original line of the file out.write(p.extract() + crlf) out.close() if ((i_cop % 10000 == 1000) or (machine == "laptop" and (i_cop % 100 == 10))): #raise Exception("Test over") printout(".", line_break = False) # compute statistics at the end of each state if (not verify_headings): state_finish = datetime.now() state_duration = state_finish - state_start total_duration = datetime.now() - program_start speed = int(1000000 * total_duration.total_seconds() / num_lines) printout("") printout("# " + format_duration(state_duration) + " for "+ input_file) printout("# Speed: {} seconds per million lines".format(speed)) folders_read += os.path.getsize(input_file) if (folders_read > 0): try: # Extrapolation statistics in year 1 from files read to files available done = int(100 * folders_read / folders_size) printout(" # done: " + str(done) + "%") remain = int(100 * (folders_size - folders_read) / folders_size) printout(" # remaining: " + str(remain) + "%") factor = int((folders_size - folders_read) / folders_read) printout(" # factor: " + str(factor)) remaining = total_duration * factor printout(" # ETA: " + format_duration(remaining)) except: printout(" # unable to compute ETA! So far: " + format_duration(total_duration) + " for " + str(100 * folders_read / folders_size) + "% completed" ) finally: bla = 1 printout("Done!") if __name__ == "__main__": os_name = os.name os_host = os.getenv("HOSTNAME") print "os.name = " + str(os_name) print "os.host = " + str(os_host) # Global variables for producing different log files in the UNC server global ext_type global ext_year if (len(sys.argv) == 3): # General code: sequential on the faculty computer, called in parallel in the cluster arg1 = sys.argv[1] if (arg1 == "all_years"): years = [1920, 1930, 1940] else: years = [int(arg1)] for year in years: ext_year = year ext_type = sys.argv[2] set_globals() if (ext_year != 1940): extractor([ext_year], verify_headings = True) printout("About to run extractor([" + str(ext_year) + "], verify_headings = False, by = " + str(ext_type) + ", overwrite = True)") printout("new thing") extractor([ext_year], verify_headings = False, by = ext_type, overwrite = True) else: ext_year = 1940 ext_type = "residence" set_globals() extractor([ext_year], verify_headings = False, by = ext_type, overwrite = True) # extractor([ext_year], verify_headings = False, by = ext_type, overwrite = True) printout("No argument passed, waiting...")