A list of manipulations that would be interesting for provincial and national datasets. Some would require separate calculation outside of ArcView (using Excel and then reimporting to ArcView)
Sex ratio and H size by residence a10101 Persons per inclusive H a102/101 02 Sex ratio of total P a103/104 03 Residents of urban wards: Persons per inclusive H a106/105 04 " " " : Sex ratio a107/108 05 Villagers: H size a110/109 06 " : Sex ratio a111/112 07 Other non-urban residents: Persons per inclusive H a114/113 08 " " " : Sex ratio a115/116 09 Non-ag. H: Sex ratio a118/119 a10110 Agric. H: Sex ratio a121/122 11 Other H: Sex ratio a124/125 12 Residents of all urban townships (zhen): H size a127/126 13 " " " " : Sex ratio a128/129 14 " " towns (zhen): H size a131/130 15 Rural residents of urban townships: H size a135/134 16 " " " " : Sex ratio a136/137 17 Non-ag. H, all urban townships: Sex ratio a139/140 18 Agric. H, all urban townships: Sex ratio a142/143 19 Other H, all urban townships: Sex ratio a145/146 a10120 Urban residents outside zhen: Persons per incl. H a152/151 21 " " " " : Sex ratio a153/154 22 Residents of rural townships: H size a156/155 23 " " " : Sex ratio a157/158 24 Non-ag. H outside zhen (mostly in CC): Sex ratio a160/161 25 Agric. H outside zhen (mostly in xiang): Sex ratio a163/164 26 Other H outside zhen: Sex ratio a166/167 27 Urban P 2000+: Persons per inclusive H a169/168 28 " " : Sex ratio a170/171 Urbanization a10141 Urbanization index, inclusive of all zhen a105/102 42 Urbanization index 2000+ a169/102 43 Urbanization index, central towns and higher a907/101 44 Urbanization index, local cities and higher a908/102 Age-sex structure a10151 Total P: Sex ratio a182/183 52 P 0-4/total P a184/181 53 M 0-4/total M a185/182 54 F 0-4/total F a186/183 55 P 0-4: Sex ratio a185/186 a10156 P 5-9/total P a187/181 57 M 5-9/total M a188/182 58 F 5-9/total F a189/183 59 P 5-9: Sex ratio a188/189 a10160 P 10-14/total P a190/181 61 M 10-14/total M a191/182 62 F 10-14/total F a192/183 63 P 10-14: Sex ratio a191/192 a10164 P 15-19: total P a193/181 65 M 15-19: total M a194/182 66 F 15-19: total F a195/183 67 P 15-19: Sex ratio a194/195 a10168 P 20-24: total P a196/182 69 M 20-24: total M a197/182 70 F 20-24: total F a198/183 71 P 20-24: Sex ratio a197/198 a10172 P 25-29: total P a199/181 73 M 25-29: total M a200/182 74 F 25-29: total F a201/183 75 P 25-29: Sex ratio a200/201 a10176 P 30-34: total P a202/181 77 M 30-34: total M a203/182 78 F 30-34: total F a204/183 79 P 30-34: Sex ratio a203/204 a10180 P 35-39: total P a205/181 81 M 35-39: total M a206/182 82 F 35-39: total F a207/183 83 P 35-39: Sex ratio a206/207 a10184 P 40-44: total P a208/181 85 M 40-44: total M a209/182 86 F 40-44: total F a210/183 87 P 40-44: Sex ratio a209/210 a10188 P 45-49: total P a211/181 89 M 45-49: total M a212/182 90 F 45-49: total F a213/183 91 P 45-49: Sex ratio a212/213 a10192 P 50-54: total P a214/181 93 M 50-54: total M a215/182 94 F 50-54: total F a216/183 95 P 50-54: Sex ratio a215/216 a10196 P 55-59: total P a217/181 97 M 55-59: total M a218/182 98 F 55-59: total F a219/183 99 P 55-59: Sex ratio a218/219 a10200 P 60-64: total P a220/181 01 M 60-64: total M a221/182 02 F 60-64: total F a222/183 03 P 60-64: Sex ratio a221/222 a10204 P 65-69: total P a223/181 05 M 65-69: total M a224/182 06 F 65-69: total F a225/183 07 P 65-69: Sex ratio a224/225 a10208 P 70-74: total P a226/181 09 M 70-74: total M a227/182 10 F 70-74: total F a228/183 11 P 70-74: Sex ratio a227/228 a10212 P 75-79: total P a229/181 13 M 75-79: total M a230/182 14 F 75-79: total F a231/183 15 P 75-79: Sex ratio a230/231 a10216 P 80-84: total P a232/181 17 M 80-84: total M a233/182 18 F 80-84: total F a234/183 19 P 80-84: Sex ratio a233/234 a10220 P 85-89: total P a235/181 21 M 85-89: total M a236/182 22 F 85-89: total F a237/183 23 P 85-89: Sex ratio a236/237 a10224 P 90-94: total P a238/181 25 M 90-94: total M a239/182 26 F 90-94: total F a240/183 27 P 90-94: Sex ratio a239/240 a10228 P 95-99: totalP a241/181 29 M 95-99: total M a242/182 30 F 95-99: total F a243/183 31 P 95-99: Sex ratio a242/243 a10232 P 100+/total P a244/181 33 M 100+/total M a245/182 34 F 100+/total F a246/183 35 P 110+: Sex ratio a245/246 a10236 P 0-9: total P a184+187/181 37 M 0-9: total M a185+188/182 38 F 0-9: total Fa 186+189/183 39 P 0-9: Sex ratio a185+188/186+189 a10240 P 0-14: total P a247/181 41 M 0-14: total M a248/182 42 F 0-14: total F a249/183 43 P 0-14: Sex ratio a248/249 a10244 P 0-19: total P a247+193/181 45 M 0-19: total M a248+194/182 46 F 0-19: total F a249+195/183 47 P 0-19: Sex ratio a248+194/249+195 a10248 P 15-45: total P a193+250/181 49 M 15-45: total M a194+251/182 50 F 15-45: total F a195+252/183 51 P 15-45: Sex ratio a194+251/195+252 a10252 P 15-55: total P a193+250+211+214/181 53 M 15-55: total M a194+251+212+215/182 54 F 15-55: total F a195+252+213+216/183 55 P 15-55: Sex ratio a194+251+212+215/195+252+213+216 a10256 P 20-60: total P a250+211+214+217/181 57 M 20-60: total M a251+212+215+218/182 58 F 20-60: total F a252+213+216+219/183 59 P 20-60: Sex ratio a251+212+215+218/252+213+216+219 a10260 P 60+: total P a220+223+226+253/181 61 M 60+: total M a221+224+227+254/182 62 F 60+: total F a222+225+228+255/183 63 P 60+: Sex ratio a221+224+227+254/222+225+228+255 a10264 P 65+: total P a223+226+253/181 65 M 65+: total M a224+227+254/182 66 F 65+: total F a225+228+255/183 67 P 65+: Sex ratio a224+227+254/225+228+255 a10268 P 70+: total P a226+253/181 69 M 70+: total M a227+254/182 70 F 70+: total F a228+255/183 71 P 70+: Sex ratio a227+254/228+255 a10272 P 75+/total P a253/181 73 M 75+/total M a254/182 74 F 75+/total F a255/183 75 P 75+: Sex ratio a254/a255 a10276 Ratio P 0-4 to P 5-9 a184/187 77 Ratio P 0-4 to P 10-14 a184/190 78 Ratio P 0-4 to P 5-14 a184/187+189 79 Ratio P 5-9 to P 10-14 a187/190 80 Ratio P 0-9 to P 10-14 a184+187/190 Educational attainment a10281 P 6+: Sex ratio a262/263 a10282 P university educated/P 6+ a264/261 83 M " " /M 6+ a265/262 84 F " " /F 6+ a266/263 85 P " " : Sex ratio a265/266 a10286 P jr. college educated/P 6+ a267/261 87 M " " " /M 6+ a268/262 88 F " " " /F 6+ a269/263 89 P " " " : Sex ratio a268/269 a10290 P secondary technical school educated/P 6+ a270/261 91 M " " " " /M 6+ a271/262 92 F " " " " /F 6+ a272/263 93 P " " " " : Sex ratio a271/272 a10294 P senior middle school educated/P 6+ a273/261 95 M " " " " /M 6+ a274/262 96 F " " " " /F 6+ a275/263 97 P " " " " : Sex ratio a274/275 a10298 P junior middle school educated/P 6+ a276/261 99 M " " " " /M 6+ a277/262 300 F " " " " /F 6+ a278/263 01 P " " " " : Sex ratio a277/278 a10302 P primary school educated/P 6+ a279/261 03 M " " " /M 6+ a280/262 04 F " " " /F 6+ a281/263 05 P " " " : Sex ratio a280/281 a10306 P illiterate/semi-illiterate/P 6+ a282/261 07 M " " /M 6+ a283/262 08 F " " /F 6+ a284/263 09 P " " : Sex ratio a283/284 a10310 P with advanced education/P 6+ a264+267/261 11 M " " " /M 6+ a265+268/262 12 F " " " /F 6+ a266+269/263 13 P " " " : Sex ratio a265+268/266+269 a10314 P educated at least to sr-mid. school/P 6+ a264+267+270+273/261 15 M " " " " " " /M 6+ a265+268+271+274/262 16 F " " " " " " /F 6+ a266+269+272+275/263 17 P " " " " " " : Sex ratio a265+268+271+274/266+269+272+275 a10318 P uneducated or only primary educ./P 6+ a279+282/261 19 M " " " " " /M 6+ a280+283/262 20 F " " " " " /F 6+ a281+284/263 21 P " " " " " : Sex ratio a280+283/a281+284 Illiteracy a10331 P 15+: Sex ratio a292/293 32 P 15+: Illiteracy rate a294/291 33 M 15+: Illiteracy rate a295/292 34 F 15+: Illiteracy rate a296/293 35 P illiterates 15+: Sex ratio a295/296 Marital status a10341 P 15+: Sex ratio a302/303 a10342 P 15+ never married/P 15+ a304/301 43 M 15+ " " /M 15+ a305/302 44 F 15+ " " /F 15+ a306/303 45 P 15+ " " : Sex ratio a305/306 a10346 P 15+ married/P 15+ a307/301 47 M 15+ " /P 15+ a308/302 48 F 15+ " /P 15+ a309/303 49 P 15+ " : Sex ratio a308/309 a10350 P 15+ widowed/P 15+ a310/301 51 M 15+ " /P 15+ a311/302 52 F 15+ " /P 15+ a312/303 53 P 15+ " : Sex ratio a311/312 a10354 P 15+ divorced/P 15+ a313/301 55 M 15+ " /P 15+ a314/302 56 F 15+ " /P 15+ a315/303 57 P 15+ " : Sex ratio a314/315 a10358 P 15+ currently married/P 15+ ever married a307/307+310+313 59 M 15+ " " /M 15+ ever married a308/308+311+314 60 F 15+ " " /F 15+ ever married a309/309+312+315 a10361 P 15+ widowed/P 15+ ever married a310/307+310+313 62 M 15+ " /M 15+ ever married a311/308+311+314 63 F 15+ " /F 15+ ever married a312/309+312+315 a10364 P 15+ divorced/P 15+ ever married a313/307+310+313 65 M 15+ " /M 15+ ever married a314/308+311+314 66 F 15+ " /F 15+ ever married a315/309+312+315 Births and fertility a10371 Sex ratio, births: 1Jan89-30Jun90 a322/323 72 " " " : 1Jan89-30Jun89 a325/326 73 " " " : 1Jul89-31Dec89 a328/329 74 " " " : 1Jan90-30Jun90 a331/332 75 " " " : 1989 a325+328/326+329 76 " " " : 1Jul89-30Jun90 a328+331/329-332 a10377 Gen'l fertility rate: 1989-90 2/3 x a321/195+252 78 Gen'l fertility rate: 1989 a324+327/195+252 79 Gen'l fertility rate: 1Jul89-30Jun90 a327+330/195+252 a10380 Ratio 1Jan89-30Jun90 births to P 0-4 a321/184 81 " " " to P 5-9 a321/187 82 " " " to P 10-14 a321/190 83 " " " to P 0-9 a321/184+187 84 " " " to P 0-14 a321/247 Deaths and mortality a10391 Sex ratio, deaths: 1Jan89-30Jun90 a342/343 92 " " " : 1Jan89-30Jun89 a345/346 93 " " " : 1Jul89-31Dec89 a348/349 94 " " " : 1Jan90-30Jun90 a351/352 95 " " " : 1989 a345+348/346+349 96 " " " : 1Jul89-30Jun90 a348+351/349+352 a10397 Crude death rate : 1989-90 2/3 x a341/102 98 Crude death rate : 1989 a344+347/102 99 Crude death rate : 1Jul89-30Jun90 a347+350/102 In-migration a10401 In-migrants (IM) as pct of adult P a361/181-247 02 Same-prov. IM as pct of adult P a362/181-247 03 IM from same-prov. shi as pct of adult P a363/181-247 04 IM from same-prov. zhen as pct of adult P a364/181-247 05 IM from same-prov. xiang as pct of adult P a365/181-247 a10406 IM from other provinces as a pct of adult P a366/181-247 07 IM from diff-prov. shi as pct of adult P a367/181-247 08 IM from diff-prov. zhen as pct of adult P a368/181-247 09 IM from diff-prov. xiang as pct of adult P a369/181-247 a10410 IM from all shi as pct. of adult P a363+367/181-247 11 IM from all zhen as pct of adult P a364+368/181-247 12 IM from all xiang as pct of adult P a365+369/181-247 a10413 Same-prov. IM as pct of all known IM a362/371 14 IM from same-prov. shi as pct of all IM a363/371 15 IM from same-prov. zhen as pct of all IM a364/371 16 IM from same-prov. xiang as pct of all IM a365/371 a10417 IM from diff-prov. shi as pct of all IM a367/371 18 IM from diff-prov. zhen as pct of all IM a368/371 19 IM from diff-prov. xiang as pct. of all IM a369/371 a10420 IM from all shi as pct of all IM a363+367/371 21 IM from all zhen as pct of all IM a364+368/371 22 IM from all xiang as pct of all IM a365+369/371 Industry/Economic activity 10431 SR (sex ratio) of total LF (labor force) a382/383 32 P in agricultural sector as pct of LF a384/381 33 M in " " " M LF a385/382 34 F in " " " F LF a386/383 35 SR of " " a385/386 10436 P in industrial sector as pct of LF a387/381 37 M " " " M LF a388/382 38 F " " " F LF a389/383 39 SR of " " a388/389 10440 P in mining sector as pct of LF a390/381 41 M " " " M LF a391/382 42 F " " " F LF a392/383 43 SR of " " a391/392 10444 P in construction sector as pct of LF a393/381 45 M " " " M LF a394/382 46 F " " " F LF a395/383 47 SR of " " a394/395 10448 P in transport/communication sector as pct of LF a396/381 49 M " " " M LF a397/382 50 F " " " F LF a398/383 51 SR of " " a397/398 10452 P in commercial sector as pct of LF a399/381 53 M " " " M LF a400/382 54 F " " " F LF a401/383 55 SR of " " a400/401 10456 P in utilities/services sector as pct of LF a402/381 57 M " " " M LF a403/382 58 F " " " F LF a404/383 59 SR of " " a403/404 10460 P in health/welfare sector as pct of LF a405/381 61 M " " " M LF a406/382 62 F " " " F LF a407/383 63 SR of " " a406/407 10464 P in education/entertainment sector as pct of LF a408/381 65 M " " " M LF a409/382 66 F " " " F LF a410/383 67 SR of " " a409/410 10468 P in science/technology sector as pct of LF a411/381 69 M " " " M LF a412/382 70 F " " " F LF a413/383 71 SR of " " a412/413 10472 P in financial sector as pct of LF a414/381 73 M " " " M LF a415/382 74 F " " " F LF a416/383 75 SR of " " a415/416 10476 P in government/organizational sector as pct of LF a417/381 77 M " " " M LF a418/382 78 F " " " F LF a419/383 79 SR of " " a418/419 10480 P in miscellaneous sector as pct of LF a420/381 81 M " " " M LF a421/382 82 F " " F LF a422/383 83 SR of " " a421/422 Occupation (LF=labor force) a10491 All professional/technical personnel as pct of LF a431/381 92 M " " " M LF a432/382 93 F " " " F LF a433/383 94 SR of " " a432/433 a10495 All officials/officers/managers as pct of LF a434/381 96 M " " M LF a435/382 97 F " " F LF a436/393 98 SR of " a435/436 a10499 All clerical personnel as pct of LF a437/381 a10500 M " " " M LF a438/382 01 F " " F LF a439/383 02 SR of " " a438/439 a10503 All commercial employees as pct of LF a440/381 04 M " " " M LF a441/382 05 F " " " F LF a442/383 06 SR of " " a441/442 a10507 All service employees as pct of LF a443/381 08 M " " " M LF a444/382 09 F " " " F LF a445/383 10 SR of " " a444/445 a10511 All agricultural workers as pct of LF a446/381 12 M " " " M LF a447/382 13 F " " " F LF a448/383 14 SR of " " a447/448 a10515 All industrial workers as pct of LF a449/381 16 M " " " M LF a450/382 17 F " " " F LF a451/383 18 SR of " " a450/451 a10519 All personnel in other/misc occupations as pct of LF a452/381 20 M " " " " M LF a453/382 21 F " " " " F LF a454/383 22 SR of " " " a453/454 Agriculture a10601 Rural P as pct of total P [persons per ha.] a601/102 a10602 Rural P density " a601/625 a10603 Nutritional density (P/cultivated area) " a601/605 a10604 P/sown area " a601/606 a10605 Rural labor force (LF)/cultivated area " a602/605 a10606 Agricultural LF/cultivated area " a603/605 a10607 Agricultural LF/sown area " a603/606 a10608 Rural LF as pct of total LF a602/381 a10609 Agricultural LF as pct of total LF a603/381 a10610 LF in rural industry as pct of total LF a604/381 a10611 LF in rural industry as pct of total rural LF a604/602 a10612 Cultivated area as pct of total surface area a605/625 a10613 Sown area/cultivated area a606/605 a10614 Grain sown area as pct of all-crops sown area a607/606 a10615 Cotton sown area as pct of all-crops sown area a608/606 a10616 Oil crops sown area as pct of all-crops sown area a609/606 a10617 Grain yields [tons per ha.] a610/607 a10618 Cotton yields " a611/608 a10619 Oil-crop yields " a612/609 a10620 Grain output per capita [tons per 10,000 persons] a610/102 a10621 Grain output per rural capita " a610/601 a10622 Meat output per capita " a613/102 a10623 Meat output per rural capita " a613/601 a10624 Mechanization [10,000 watts per ha. of cultivated land] a614/605 a10625 Tractor-plowed as a pct of cultivated area a615/605 a10626 Irrigated area as a pct of cultivated area a616/605 a10627 Fertilizer per unit of sown area [tons per ha.] a617/606 a10628 Electricity used [10m watt-hours] per ha. of cult. land a618/605 a10629 Per-capitized electr. use [watt-hours per rural person] a618/601 a10630 Per-capitized collective units' product in ¥ (rural P) a619/601 a10631 Per-capitized GVAO in ¥ (rural P) a620/601 a10632 Per-capitized GVAO in ¥ (rural LF) a620/602 a10633 Agricultural productivity [¥ per agricultural LF] a620/603 a10634 Per-capitized adjusted GVAO in ¥ (rural P) a623/601 a10635 Per-capitized adjusted GVAO in ¥ (rural LF) a623/602 a10636 Adjusted agricultural productivity [¥/agric. LF] a623/603 a10637 Per-capitized net VAO in ¥ (rural P) a622/601 a10638 Per-capitized net VAO in ¥ (rural LF) a622/602 a10639 Net agricultural productivity [¥ per agricultural LF] a622/603 a10640 Per-capitized purchased output (rural P) a624/601 a10641 Per-capitized purchased output (rural LF) a624/602