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1991 Population Census Abstract⚓︎

Table Summary⚓︎

PCA provides information on area, occupied residential houses, number of households, sex-wise total population, child population in age-group 0-6, Scheduled Castes and Scheduled Tribes, literates, workers, non-workers and classification of workers into four broad categories i.e. cultivators, agricultural labourers, workers in household industries and other workers in each village and town of India.

File Metadata⚓︎

Table Information (SHRID)⚓︎

Aggregation Level File Name Unique Identifiers
SHRID pc91_pca_clean_shrid.dta shrid2

Variable Information (SHRID)⚓︎

Variable Name Description Missing % Non-missing count
pc91_pca_area Area 0% 563,381
pc91_pca_res_house Number of occupied residential houses 0% 563,846
pc91_pca_no_hh Number of households 0% 563,846
⭐ pc91_pca_tot_p Total population 0% 563,846
pc91_pca_tot_m Total male population 0% 563,846
pc91_pca_tot_f Total female population 0% 563,845
pc91_pca_m_06 Male population below age 7 0% 563,845
pc91_pca_f_06 Female population below age 7 0% 563,844
pc91_pca_p_06 Total population below age 7 0% 563,844
pc91_pca_m_sc Male SC population 0% 563,843
pc91_pca_f_sc Female SC population 0% 563,841
pc91_pca_p_sc Total SC Population 0% 563,841
pc91_pca_m_st Male ST population 0% 563,840
pc91_pca_f_st Female ST Population 0% 563,839
pc91_pca_p_st Total ST Population 0% 563,839
pc91_pca_m_lit Male literates 0% 563,846
pc91_pca_f_lit Female literates 0% 563,845
pc91_pca_p_lit Total Literates 0% 563,845
pc91_pca_mainwork_m Total main workers - Male 0% 563,846
pc91_pca_mainwork_f Total main workers - Female 0% 563,843
pc91_pca_mainwork_p Total main workers 0% 563,843
pc91_pca_main_cl_m Cultivators - Male 0% 563,843
pc91_pca_main_cl_f Cultivators - Female 0% 563,835
pc91_pca_main_cl_p Total cultivators 0% 563,835
pc91_pca_main_al_m Agricultural labourers - Male 0% 563,837
pc91_pca_main_al_f Agricultural labourers - Female 0% 563,826
pc91_pca_main_al_p Total agricultural laborers 0% 563,826
pc91_pca_main_liv_m Livestock,Forestry,Fishing and allied activities workers - Male 11% 503,678
pc91_pca_main_liv_f Livestock,Forestry,Fishing etc. and allied activities workers - Female 11% 503,990
pc91_pca_main_liv_p Total livestock workers 11% 503,645
pc91_pca_main_min_m Mining and Quarying workers - Male 10% 509,451
pc91_pca_main_min_f Mining and Quarying workers - Female 10% 509,573
pc91_pca_main_min_p Total mining and quarrying workers 10% 509,423
pc91_pca_main_hh_m Manufacturing and processing in household industry workers - Male 7% 525,268
pc91_pca_main_hh_f Manufacturing and Processing household industry workers - Female 7% 525,963
pc91_pca_main_hh_p Total workers - Manufacturing and Processing household industry 7% 525,245
pc91_pca_main_man_m Manufacturing and procesing in other than HH industry workers - Male 6% 532,710
pc91_pca_main_man_f Manufacturing and Processing other than household industry workers - Female 5% 532,865
pc91_pca_main_man_p Total workers - Manufacturing and Processing (non-HH) 6% 532,686
pc91_pca_main_con_m Construction workers - Male 5% 534,330
pc91_pca_main_con_f Construction workers - Female 5% 534,381
pc91_pca_main_con_p Total construction workers 5% 534,319
pc91_pca_main_trade_m Trade and Commerce workers - Male 4% 538,907
pc91_pca_main_trade_f Trade and Commerce workers - Female 4% 538,987
pc91_pca_main_trade_p Total trade and commerce workers 4% 538,870
pc91_pca_main_trans_m Transport & Storage workers - Male 4% 540,353
pc91_pca_main_trans_f Transport and Storage workers - Female 4% 540,379
pc91_pca_main_trans_p Total transportation workers 4% 540,320
pc91_pca_main_ot_m Other services workers - Mal 0% 562,876
pc91_pca_main_ot_f Other services workers - Female 0% 562,902
pc91_pca_main_ot_p Total other service workers 0% 562,868
pc91_pca_margwork_m Marginal workers - Male 2% 552,708
pc91_pca_margwork_f Marginal Workers - Female 1% 556,014
pc91_pca_margwork_p Total marginal workers 2% 552,706
pc91_pca_non_work_m Non-Workers - Male 0% 563,819
pc91_pca_non_work_f Non-Workers - Female 0% 563,831
pc91_pca_non_work_p Total non-workers 0% 563,819

Table Information (Subdistrict)⚓︎

No Data available

Variable Information (Subdistrict)⚓︎

No Data available

Table Information (District)⚓︎

Aggregation Level File Name Unique Identifiers
District pc91_pca_clean_pc91dist.dta pc91_state_id, pc91_district_id

Variable Information (District)⚓︎

Variable Name Description Missing % Non-missing count
pc91_pca_area Area 0% 452
pc91_pca_res_house Number of occupied residential houses 0% 452
pc91_pca_no_hh Number of households 0% 452
⭐ pc91_pca_tot_p Total population 0% 452
pc91_pca_tot_m Total male population 0% 452
pc91_pca_tot_f Total female population 0% 452
pc91_pca_m_06 Male population below age 7 0% 452
pc91_pca_f_06 Female population below age 7 0% 452
pc91_pca_p_06 Total population below age 7 0% 452
pc91_pca_m_sc Male SC population 0% 452
pc91_pca_f_sc Female SC population 0% 452
pc91_pca_p_sc Total SC Population 0% 452
pc91_pca_m_st Male ST population 0% 452
pc91_pca_f_st Female ST Population 0% 452
pc91_pca_p_st Total ST Population 0% 452
pc91_pca_m_lit Male literates 0% 452
pc91_pca_f_lit Female literates 0% 452
pc91_pca_p_lit Total Literates 0% 452
pc91_pca_mainwork_m Total main workers - Male 0% 452
pc91_pca_mainwork_f Total main workers - Female 0% 452
pc91_pca_mainwork_p Total main workers 0% 452
pc91_pca_main_cl_m Cultivators - Male 0% 452
pc91_pca_main_cl_f Cultivators - Female 0% 452
pc91_pca_main_cl_p Total cultivators 0% 452
pc91_pca_main_al_m Agricultural labourers - Male 0% 452
pc91_pca_main_al_f Agricultural labourers - Female 0% 452
pc91_pca_main_al_p Total agricultural laborers 0% 452
pc91_pca_main_liv_m Livestock,Forestry,Fishing and allied activities workers - Male 0% 452
pc91_pca_main_liv_f Livestock,Forestry,Fishing etc. and allied activities workers - Female 0% 452
pc91_pca_main_liv_p Total livestock workers 0% 452
pc91_pca_main_min_m Mining and Quarying workers - Male 0% 452
pc91_pca_main_min_f Mining and Quarying workers - Female 0% 452
pc91_pca_main_min_p Total mining and quarrying workers 0% 452
pc91_pca_main_hh_m Manufacturing and processing in household industry workers - Male 0% 452
pc91_pca_main_hh_f Manufacturing and Processing household industry workers - Female 0% 452
pc91_pca_main_hh_p Total workers - Manufacturing and Processing household industry 0% 452
pc91_pca_main_man_m Manufacturing and procesing in other than HH industry workers - Male 0% 452
pc91_pca_main_man_f Manufacturing and Processing other than household industry workers - Female 0% 452
pc91_pca_main_man_p Total workers - Manufacturing and Processing (non-HH) 0% 452
pc91_pca_main_con_m Construction workers - Male 0% 452
pc91_pca_main_con_f Construction workers - Female 0% 452
pc91_pca_main_con_p Total construction workers 0% 452
pc91_pca_main_trade_m Trade and Commerce workers - Male 0% 452
pc91_pca_main_trade_f Trade and Commerce workers - Female 0% 452
pc91_pca_main_trade_p Total trade and commerce workers 0% 452
pc91_pca_main_trans_m Transport & Storage workers - Male 0% 452
pc91_pca_main_trans_f Transport and Storage workers - Female 0% 452
pc91_pca_main_trans_p Total transportation workers 0% 452
pc91_pca_main_ot_m Other services workers - Mal 0% 452
pc91_pca_main_ot_f Other services workers - Female 0% 452
pc91_pca_main_ot_p Total other service workers 0% 452
pc91_pca_margwork_m Marginal workers - Male 0% 452
pc91_pca_margwork_f Marginal Workers - Female 0% 452
pc91_pca_margwork_p Total marginal workers 0% 452
pc91_pca_non_work_m Non-Workers - Male 0% 452
pc91_pca_non_work_f Non-Workers - Female 0% 452
pc91_pca_non_work_p Total non-workers 0% 452

Table Information (AC07)⚓︎

Aggregation Level File Name Unique Identifiers
2007 Assembly Constituency pc91_pca_clean_con07.dta ac07_id

Variable Information (AC07)⚓︎

Variable Name Description Missing % Non-missing count
pc91_pca_area Area 42% 2,204
pc91_pca_res_house Number of occupied residential houses 42% 2,204
pc91_pca_no_hh Number of households 42% 2,204
⭐ pc91_pca_tot_p Total population 42% 2,204
pc91_pca_tot_m Total male population 42% 2,204
pc91_pca_tot_f Total female population 42% 2,204
pc91_pca_m_06 Male population below age 7 42% 2,204
pc91_pca_f_06 Female population below age 7 42% 2,204
pc91_pca_p_06 Total population below age 7 42% 2,204
pc91_pca_m_sc Male SC population 42% 2,204
pc91_pca_f_sc Female SC population 42% 2,204
pc91_pca_p_sc Total SC Population 42% 2,204
pc91_pca_m_st Male ST population 42% 2,204
pc91_pca_f_st Female ST Population 42% 2,204
pc91_pca_p_st Total ST Population 42% 2,204
pc91_pca_m_lit Male literates 42% 2,204
pc91_pca_f_lit Female literates 42% 2,204
pc91_pca_p_lit Total Literates 42% 2,204
pc91_pca_mainwork_m Total main workers - Male 42% 2,204
pc91_pca_mainwork_f Total main workers - Female 42% 2,204
pc91_pca_mainwork_p Total main workers 42% 2,204
pc91_pca_main_cl_m Cultivators - Male 42% 2,204
pc91_pca_main_cl_f Cultivators - Female 42% 2,204
pc91_pca_main_cl_p Total cultivators 42% 2,204
pc91_pca_main_al_m Agricultural labourers - Male 42% 2,204
pc91_pca_main_al_f Agricultural labourers - Female 42% 2,204
pc91_pca_main_al_p Total agricultural laborers 42% 2,204
pc91_pca_main_liv_m Livestock,Forestry,Fishing and allied activities workers - Male 43% 2,177
pc91_pca_main_liv_f Livestock,Forestry,Fishing etc. and allied activities workers - Female 43% 2,177
pc91_pca_main_liv_p Total livestock workers 43% 2,176
pc91_pca_main_min_m Mining and Quarying workers - Male 43% 2,192
pc91_pca_main_min_f Mining and Quarying workers - Female 43% 2,192
pc91_pca_main_min_p Total mining and quarrying workers 43% 2,192
pc91_pca_main_hh_m Manufacturing and processing in household industry workers - Male 42% 2,204
pc91_pca_main_hh_f Manufacturing and Processing household industry workers - Female 42% 2,204
pc91_pca_main_hh_p Total workers - Manufacturing and Processing household industry 42% 2,204
pc91_pca_main_man_m Manufacturing and procesing in other than HH industry workers - Male 42% 2,204
pc91_pca_main_man_f Manufacturing and Processing other than household industry workers - Female 42% 2,204
pc91_pca_main_man_p Total workers - Manufacturing and Processing (non-HH) 42% 2,204
pc91_pca_main_con_m Construction workers - Male 42% 2,204
pc91_pca_main_con_f Construction workers - Female 42% 2,204
pc91_pca_main_con_p Total construction workers 42% 2,204
pc91_pca_main_trade_m Trade and Commerce workers - Male 42% 2,204
pc91_pca_main_trade_f Trade and Commerce workers - Female 42% 2,204
pc91_pca_main_trade_p Total trade and commerce workers 42% 2,204
pc91_pca_main_trans_m Transport & Storage workers - Male 42% 2,204
pc91_pca_main_trans_f Transport and Storage workers - Female 42% 2,204
pc91_pca_main_trans_p Total transportation workers 42% 2,204
pc91_pca_main_ot_m Other services workers - Mal 42% 2,204
pc91_pca_main_ot_f Other services workers - Female 42% 2,204
pc91_pca_main_ot_p Total other service workers 42% 2,204
pc91_pca_margwork_m Marginal workers - Male 42% 2,204
pc91_pca_margwork_f Marginal Workers - Female 42% 2,204
pc91_pca_margwork_p Total marginal workers 42% 2,204
pc91_pca_non_work_m Non-Workers - Male 42% 2,204
pc91_pca_non_work_f Non-Workers - Female 42% 2,204
pc91_pca_non_work_p Total non-workers 42% 2,204

Table Information (AC08)⚓︎

Aggregation Level File Name Unique Identifiers
2008 Assembly Constituency pc91_pca_clean_con08.dta ac08_id

Variable Information (AC08)⚓︎

Variable Name Description Missing % Non-missing count
pc91_pca_area Area 40% 2,189
pc91_pca_res_house Number of occupied residential houses 40% 2,189
pc91_pca_no_hh Number of households 40% 2,189
⭐ pc91_pca_tot_p Total population 40% 2,189
pc91_pca_tot_m Total male population 40% 2,189
pc91_pca_tot_f Total female population 40% 2,189
pc91_pca_m_06 Male population below age 7 40% 2,189
pc91_pca_f_06 Female population below age 7 40% 2,189
pc91_pca_p_06 Total population below age 7 40% 2,189
pc91_pca_m_sc Male SC population 40% 2,189
pc91_pca_f_sc Female SC population 40% 2,189
pc91_pca_p_sc Total SC Population 40% 2,189
pc91_pca_m_st Male ST population 40% 2,189
pc91_pca_f_st Female ST Population 40% 2,189
pc91_pca_p_st Total ST Population 40% 2,189
pc91_pca_m_lit Male literates 40% 2,189
pc91_pca_f_lit Female literates 40% 2,189
pc91_pca_p_lit Total Literates 40% 2,189
pc91_pca_mainwork_m Total main workers - Male 40% 2,189
pc91_pca_mainwork_f Total main workers - Female 40% 2,189
pc91_pca_mainwork_p Total main workers 40% 2,189
pc91_pca_main_cl_m Cultivators - Male 40% 2,189
pc91_pca_main_cl_f Cultivators - Female 40% 2,189
pc91_pca_main_cl_p Total cultivators 40% 2,189
pc91_pca_main_al_m Agricultural labourers - Male 40% 2,189
pc91_pca_main_al_f Agricultural labourers - Female 40% 2,189
pc91_pca_main_al_p Total agricultural laborers 40% 2,189
pc91_pca_main_liv_m Livestock,Forestry,Fishing and allied activities workers - Male 41% 2,157
pc91_pca_main_liv_f Livestock,Forestry,Fishing etc. and allied activities workers - Female 41% 2,156
pc91_pca_main_liv_p Total livestock workers 41% 2,155
pc91_pca_main_min_m Mining and Quarying workers - Male 40% 2,175
pc91_pca_main_min_f Mining and Quarying workers - Female 40% 2,175
pc91_pca_main_min_p Total mining and quarrying workers 40% 2,175
pc91_pca_main_hh_m Manufacturing and processing in household industry workers - Male 40% 2,189
pc91_pca_main_hh_f Manufacturing and Processing household industry workers - Female 40% 2,189
pc91_pca_main_hh_p Total workers - Manufacturing and Processing household industry 40% 2,189
pc91_pca_main_man_m Manufacturing and procesing in other than HH industry workers - Male 40% 2,189
pc91_pca_main_man_f Manufacturing and Processing other than household industry workers - Female 40% 2,189
pc91_pca_main_man_p Total workers - Manufacturing and Processing (non-HH) 40% 2,189
pc91_pca_main_con_m Construction workers - Male 40% 2,189
pc91_pca_main_con_f Construction workers - Female 40% 2,189
pc91_pca_main_con_p Total construction workers 40% 2,189
pc91_pca_main_trade_m Trade and Commerce workers - Male 40% 2,189
pc91_pca_main_trade_f Trade and Commerce workers - Female 40% 2,189
pc91_pca_main_trade_p Total trade and commerce workers 40% 2,189
pc91_pca_main_trans_m Transport & Storage workers - Male 40% 2,189
pc91_pca_main_trans_f Transport and Storage workers - Female 40% 2,189
pc91_pca_main_trans_p Total transportation workers 40% 2,189
pc91_pca_main_ot_m Other services workers - Mal 40% 2,189
pc91_pca_main_ot_f Other services workers - Female 40% 2,189
pc91_pca_main_ot_p Total other service workers 40% 2,189
pc91_pca_margwork_m Marginal workers - Male 40% 2,189
pc91_pca_margwork_f Marginal Workers - Female 40% 2,189
pc91_pca_margwork_p Total marginal workers 40% 2,189
pc91_pca_non_work_m Non-Workers - Male 40% 2,189
pc91_pca_non_work_f Non-Workers - Female 40% 2,189
pc91_pca_non_work_p Total non-workers 40% 2,189

Note

  • Missing %: Proportion of observations with missing data
  • Zero %: Proportion of observations with zero values
  • Canary variable: The ⭐ indicates the canary variable for imputation, see this link for more details about the imputation algorithm.

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