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87c36e4856
Adds static SIDRA demographics, territory-weighted derivation, electorate UI with opt-in copy to manual profiles, shared territory-city resolution, and registers A8+ fill-in debt from capture-review-debts.
487 lines
66 KiB
TypeScript
487 lines
66 KiB
TypeScript
/**
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* IBGE Censo 2022 municipality demographics for Bahia (codarea → indicators).
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*
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* Source (SIDRA table 9514 — população por idade, UF BA N6; accessed 2026-07-20):
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6572
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6573
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6574
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6575
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6576
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6577
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6578
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6579
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6580
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6581
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6653
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/49108
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/49109
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/60040
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/60041
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93070
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93084
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93085
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93088
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93089
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93090
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93091
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93092
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93093
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93094
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93095
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93096
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93097
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93098
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* Download SHA-256: f86bf59de0d8afb5d61e49c9d839846f185d12774fa802db160ca912bb7c7ee1, 1881dc8e9162aa54fde56dfa027d53b84e46991b2400899a8cd8deaae9aacf46, 9a2ecd1e0f11d998d7c1966f78cc97ed758509d9f33fb269f63b39edf60ed0f4, 50e4863e19ec51df03edf2f4957ea0627d995dd4ed76ce459ea4174850cf54b3, 4cce7d106470128fea1e34d9c1c00ab71eee3395930e873129f354c6854e156e, 89d0f4db58500307f569d031b629e7566a360f8372345cb531c023d0f292f0b2, aa87fb15cc10e363847a73e2d472b0e119618adf501fcc4c973b7b330b8404dd, 470e5d2469a23c9c8555ea1d12b2a6f63d74229ad6ea00e9abf3140cd4816519, cb249824f40eb32167dd3518468be9f55146be60192ea66819102d18d1321e7d, 53fa99084b8c11e8afa39ffb1d91f9d6fc6b8fab853b0a04d9b9e8f33eff96c0, 4019a6c9b7be17b3e2a534f58f7522356c67466a9ff10abdd9bf77df81ef4ae4, 0f690efc75538ca79f15527525abcc5dcad89986a937320e1d5b1c25da0b1a2e, c504ecf6fa661d81f42094d0c92dc92b014af87f67265c3063d20f21350b494c, 3ea94b58779460035f8ec4cf34532eb96f9b8af136889c1a8ad840572ec88c4a, cac9ce52a4a175823fceccb35fc96c2bc36ff6aec1ce94af884523cee81247b7, 1012e2f02dd54c33aa1a3611d748e7cd889982e9124090e65591f4975c7b6fed, b6f3d4831499be4b7ec77b9f49fcf02da1a6357d7c96676c2349c45a7fb1665e, 513508fa7f32cce520f3b245c5e3ab339c5418403b09b1bfab930818617b8db7, bb1034d2e52ae3dc0f30c5ec70b49a002633c18b7bc8b642ff9246f00493146e, c430366cc2c66cacd848103590071d5fe22e564c46d5c43534d5baadb12927ce, 5831f5d92a82bd4c22c3d7a188a400a59d2835fa63331e7a31a6e0411c6a48c4, d7339f8216e85bb68911d039096336756190f6149434a73ce9e3f500c36c641f, 72dbaddff14e5d400e770fb92c84e32798b2e83759e51c05ffdeefadb591a60d, f113609923f9a0020c23cb57c576e280a4435a4b45d4a5a83c502db89e7ecabd, 7c6527c1cdede87a2fa7a34c893d0e275c692138ec1bfdca2fa0e17a131ec058, 29d515dedd5a339086eb94131efb2027c4e63f127af1e26ccb09f1710989093e, f9986ea56489a6ed4a335edbe3450ebb19c2db619f36a40a62bfeb3e19f9388d, 89777d7ba67ebed6039bc8745b759a776783d4448c1ab1f3a1df84a56ee01e59, c6d239a370853f014afd3cf9ddacb6ae2c3268eec2c36c4b509eaf046ccbb724
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*
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* Source (SIDRA table 9514 — população feminina total, UF BA N6; accessed 2026-07-20):
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* https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/5/c287/100362
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* Download SHA-256: 818eb751d25f88345de96772f25f77022c16cc849da43ececd528566cb85ff6c
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*
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* Source (SIDRA table 9515 — idade mediana, UF BA N6; accessed 2026-07-20):
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* https://apisidra.ibge.gov.br/values/t/9515/n3/29/n6/all/v/10613/p/2022
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* Download SHA-256: 6eac88bf0963ff529addf390d9cf36fdad70f8d923923cf925251a500583d241
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*
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* Age bands aggregate SIDRA classification 287 categories documented in scripts/build-bahia-demographics.mjs.
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* Coverage is independently checked by tests/fixtures/bahia-municipality-demographics.official.json.
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*/
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import { codeForMunicipality } from '@/lib/bahiaMunicipalityCodes'
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export type MunicipalityAgeBandKey = '0-17' | '18-29' | '30-59' | '60+'
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export type MunicipalityDemographics = {
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population: number
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ageBands: Record<MunicipalityAgeBandKey, number>
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sexShareFemale: number
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medianAge: number | null
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}
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export const bahiaMunicipalityDemographics: Readonly<Record<string, MunicipalityDemographics>> = {
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"2900108": { population: 7301, ageBands: { "0-17": 1356, "18-29": 967, "30-59": 3015, "60+": 1963 }, sexShareFemale: 0.511574, medianAge: 43 },
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"2900207": { population: 17639, ageBands: { "0-17": 5376, "18-29": 3442, "30-59": 6579, "60+": 2242 }, sexShareFemale: 0.506605, medianAge: 30 },
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"2900306": { population: 13795, ageBands: { "0-17": 3667, "18-29": 2485, "30-59": 5356, "60+": 2287 }, sexShareFemale: 0.511997, medianAge: 34 },
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"2900355": { population: 14201, ageBands: { "0-17": 3316, "18-29": 2711, "30-59": 5877, "60+": 2297 }, sexShareFemale: 0.502218, medianAge: 34 },
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"2900405": { population: 14497, ageBands: { "0-17": 3485, "18-29": 2511, "30-59": 5845, "60+": 2656 }, sexShareFemale: 0.514313, medianAge: 36 },
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"2900504": { population: 10604, ageBands: { "0-17": 2243, "18-29": 1992, "30-59": 4376, "60+": 1993 }, sexShareFemale: 0.501603, medianAge: 36 },
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"2900603": { population: 4447, ageBands: { "0-17": 1076, "18-29": 726, "30-59": 1794, "60+": 851 }, sexShareFemale: 0.501462, medianAge: 37 },
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"2900702": { population: 151055, ageBands: { "0-17": 36332, "18-29": 26395, "30-59": 66436, "60+": 21892 }, sexShareFemale: 0.531727, medianAge: 35 },
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"2900801": { population: 24530, ageBands: { "0-17": 6863, "18-29": 4117, "30-59": 9751, "60+": 3799 }, sexShareFemale: 0.495516, medianAge: 33 },
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"2900900": { population: 5218, ageBands: { "0-17": 1198, "18-29": 754, "30-59": 2104, "60+": 1162 }, sexShareFemale: 0.510349, medianAge: 39 },
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"2901007": { population: 36521, ageBands: { "0-17": 8711, "18-29": 7045, "30-59": 14851, "60+": 5914 }, sexShareFemale: 0.518880, medianAge: 34 },
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"2901106": { population: 24138, ageBands: { "0-17": 5818, "18-29": 4102, "30-59": 10226, "60+": 3992 }, sexShareFemale: 0.533640, medianAge: 36 },
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"2901155": { population: 15137, ageBands: { "0-17": 4383, "18-29": 2683, "30-59": 5767, "60+": 2304 }, sexShareFemale: 0.495937, medianAge: 32 },
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"2901205": { population: 25438, ageBands: { "0-17": 5762, "18-29": 4079, "30-59": 10162, "60+": 5435 }, sexShareFemale: 0.496580, medianAge: 38 },
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"2901304": { population: 13080, ageBands: { "0-17": 3491, "18-29": 2448, "30-59": 5117, "60+": 2024 }, sexShareFemale: 0.498089, medianAge: 33 },
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"2901353": { population: 15012, ageBands: { "0-17": 3542, "18-29": 2696, "30-59": 6354, "60+": 2420 }, sexShareFemale: 0.502598, medianAge: 35 },
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"2901403": { population: 13732, ageBands: { "0-17": 3625, "18-29": 2371, "30-59": 5438, "60+": 2298 }, sexShareFemale: 0.485071, medianAge: 34 },
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"2901502": { population: 11031, ageBands: { "0-17": 2503, "18-29": 2002, "30-59": 4679, "60+": 1847 }, sexShareFemale: 0.510652, medianAge: 36 },
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"2901601": { population: 14206, ageBands: { "0-17": 2896, "18-29": 2648, "30-59": 6059, "60+": 2603 }, sexShareFemale: 0.498381, medianAge: 36 },
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"2901700": { population: 11146, ageBands: { "0-17": 3011, "18-29": 2091, "30-59": 4351, "60+": 1693 }, sexShareFemale: 0.514265, medianAge: 32 },
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"2901809": { population: 10862, ageBands: { "0-17": 2779, "18-29": 1916, "30-59": 4451, "60+": 1716 }, sexShareFemale: 0.499632, medianAge: 34 },
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"2901908": { population: 15922, ageBands: { "0-17": 4037, "18-29": 2834, "30-59": 6279, "60+": 2772 }, sexShareFemale: 0.496608, medianAge: 35 },
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"2901957": { population: 6913, ageBands: { "0-17": 1775, "18-29": 1195, "30-59": 2661, "60+": 1282 }, sexShareFemale: 0.496167, medianAge: 35 },
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"2902005": { population: 13936, ageBands: { "0-17": 3211, "18-29": 2304, "30-59": 5656, "60+": 2765 }, sexShareFemale: 0.489165, medianAge: 37 },
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"2902054": { population: 11557, ageBands: { "0-17": 3203, "18-29": 2310, "30-59": 4642, "60+": 1402 }, sexShareFemale: 0.516916, medianAge: 31 },
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"2902104": { population: 48294, ageBands: { "0-17": 13010, "18-29": 9431, "30-59": 18633, "60+": 7220 }, sexShareFemale: 0.501097, medianAge: 32 },
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"2902203": { population: 9833, ageBands: { "0-17": 2429, "18-29": 1786, "30-59": 4131, "60+": 1487 }, sexShareFemale: 0.515916, medianAge: 35 },
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"2902252": { population: 10191, ageBands: { "0-17": 2737, "18-29": 1869, "30-59": 3985, "60+": 1600 }, sexShareFemale: 0.472181, medianAge: 33 },
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"2902302": { population: 8677, ageBands: { "0-17": 2261, "18-29": 1602, "30-59": 3639, "60+": 1175 }, sexShareFemale: 0.495448, medianAge: 33 },
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"2902401": { population: 11179, ageBands: { "0-17": 3258, "18-29": 1881, "30-59": 4287, "60+": 1753 }, sexShareFemale: 0.507738, medianAge: 33 },
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"2902500": { population: 13614, ageBands: { "0-17": 3668, "18-29": 2449, "30-59": 5297, "60+": 2200 }, sexShareFemale: 0.485897, medianAge: 33 },
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"2902609": { population: 18220, ageBands: { "0-17": 4500, "18-29": 3192, "30-59": 7054, "60+": 3474 }, sexShareFemale: 0.503238, medianAge: 36 },
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"2902658": { population: 11958, ageBands: { "0-17": 3360, "18-29": 2096, "30-59": 4583, "60+": 1919 }, sexShareFemale: 0.496153, medianAge: 33 },
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"2902708": { population: 51092, ageBands: { "0-17": 16288, "18-29": 9907, "30-59": 18520, "60+": 6377 }, sexShareFemale: 0.491290, medianAge: 29 },
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"2902807": { population: 26026, ageBands: { "0-17": 6778, "18-29": 5221, "30-59": 10605, "60+": 3422 }, sexShareFemale: 0.495504, medianAge: 32 },
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"2902906": { population: 36539, ageBands: { "0-17": 10124, "18-29": 6696, "30-59": 14500, "60+": 5219 }, sexShareFemale: 0.507540, medianAge: 32 },
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"2903003": { population: 13836, ageBands: { "0-17": 3320, "18-29": 2314, "30-59": 5383, "60+": 2819 }, sexShareFemale: 0.495302, medianAge: 37 },
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"2903102": { population: 5775, ageBands: { "0-17": 1469, "18-29": 919, "30-59": 2377, "60+": 1010 }, sexShareFemale: 0.477576, medianAge: 36 },
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"2903201": { population: 159734, ageBands: { "0-17": 43478, "18-29": 32658, "30-59": 67612, "60+": 15986 }, sexShareFemale: 0.510943, medianAge: 31 },
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"2903235": { population: 13453, ageBands: { "0-17": 3375, "18-29": 2431, "30-59": 5434, "60+": 2213 }, sexShareFemale: 0.494908, medianAge: 35 },
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"2903276": { population: 15203, ageBands: { "0-17": 4005, "18-29": 2742, "30-59": 6371, "60+": 2085 }, sexShareFemale: 0.505558, medianAge: 33 },
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"2903300": { population: 5833, ageBands: { "0-17": 1354, "18-29": 955, "30-59": 2420, "60+": 1104 }, sexShareFemale: 0.499914, medianAge: 37 },
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"2903409": { population: 20121, ageBands: { "0-17": 5662, "18-29": 3459, "30-59": 7881, "60+": 3119 }, sexShareFemale: 0.496446, medianAge: 33 },
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"2903508": { population: 18412, ageBands: { "0-17": 4472, "18-29": 3144, "30-59": 7193, "60+": 3603 }, sexShareFemale: 0.501195, medianAge: 36 },
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"2903607": { population: 15146, ageBands: { "0-17": 3852, "18-29": 2663, "30-59": 6108, "60+": 2523 }, sexShareFemale: 0.497425, medianAge: 34 },
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"2903706": { population: 13690, ageBands: { "0-17": 3430, "18-29": 2343, "30-59": 5196, "60+": 2721 }, sexShareFemale: 0.501899, medianAge: 35 },
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"2903805": { population: 16873, ageBands: { "0-17": 4650, "18-29": 2774, "30-59": 6506, "60+": 2943 }, sexShareFemale: 0.492977, medianAge: 34 },
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"2903904": { population: 65550, ageBands: { "0-17": 18854, "18-29": 12667, "30-59": 25605, "60+": 8424 }, sexShareFemale: 0.509260, medianAge: 31 },
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"2903953": { population: 9730, ageBands: { "0-17": 2415, "18-29": 1810, "30-59": 3754, "60+": 1751 }, sexShareFemale: 0.483864, medianAge: 34 },
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"2904001": { population: 13622, ageBands: { "0-17": 3496, "18-29": 2319, "30-59": 5329, "60+": 2478 }, sexShareFemale: 0.510277, medianAge: 35 },
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"2904050": { population: 15844, ageBands: { "0-17": 4686, "18-29": 3410, "30-59": 6066, "60+": 1682 }, sexShareFemale: 0.500063, medianAge: 29 },
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"2904100": { population: 19322, ageBands: { "0-17": 4699, "18-29": 3340, "30-59": 7484, "60+": 3799 }, sexShareFemale: 0.508074, medianAge: 36 },
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"2904209": { population: 11024, ageBands: { "0-17": 2518, "18-29": 2083, "30-59": 4374, "60+": 2049 }, sexShareFemale: 0.497823, medianAge: 35 },
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"2904308": { population: 12943, ageBands: { "0-17": 3268, "18-29": 2213, "30-59": 5124, "60+": 2338 }, sexShareFemale: 0.507997, medianAge: 35 },
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"2904407": { population: 9108, ageBands: { "0-17": 2222, "18-29": 1300, "30-59": 3758, "60+": 1828 }, sexShareFemale: 0.485617, medianAge: 38 },
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"2904506": { population: 11765, ageBands: { "0-17": 2906, "18-29": 1833, "30-59": 4489, "60+": 2537 }, sexShareFemale: 0.487123, medianAge: 37 },
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"2904605": { population: 70510, ageBands: { "0-17": 16094, "18-29": 12337, "30-59": 30638, "60+": 11441 }, sexShareFemale: 0.512523, medianAge: 36 },
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"2904704": { population: 14804, ageBands: { "0-17": 3609, "18-29": 2298, "30-59": 5830, "60+": 3067 }, sexShareFemale: 0.512497, medianAge: 37 },
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"2904753": { population: 19589, ageBands: { "0-17": 5733, "18-29": 3806, "30-59": 7509, "60+": 2541 }, sexShareFemale: 0.479249, medianAge: 30 },
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"2904803": { population: 6205, ageBands: { "0-17": 1435, "18-29": 1001, "30-59": 2627, "60+": 1142 }, sexShareFemale: 0.486382, medianAge: 37 },
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"2904852": { population: 16559, ageBands: { "0-17": 4683, "18-29": 3292, "30-59": 6318, "60+": 2266 }, sexShareFemale: 0.517362, medianAge: 31 },
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"2904902": { population: 29250, ageBands: { "0-17": 7030, "18-29": 5402, "30-59": 12121, "60+": 4697 }, sexShareFemale: 0.521846, medianAge: 35 },
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"2905008": { population: 22462, ageBands: { "0-17": 5044, "18-29": 3987, "30-59": 9293, "60+": 4138 }, sexShareFemale: 0.506411, medianAge: 36 },
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"2905107": { population: 10384, ageBands: { "0-17": 2806, "18-29": 1890, "30-59": 3948, "60+": 1740 }, sexShareFemale: 0.503948, medianAge: 33 },
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"2905156": { population: 11266, ageBands: { "0-17": 2663, "18-29": 1921, "30-59": 4556, "60+": 2126 }, sexShareFemale: 0.488638, medianAge: 36 },
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"2933604": { population: 44757, ageBands: { "0-17": 13790, "18-29": 8312, "30-59": 16418, "60+": 6237 }, sexShareFemale: 0.511026, medianAge: 30 },
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}
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export const demographicsForCode = (codarea: string): MunicipalityDemographics | undefined =>
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bahiaMunicipalityDemographics[codarea]
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export const demographicsForMunicipalityName = (
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municipality: string,
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|
): MunicipalityDemographics | undefined => {
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|
const code = codeForMunicipality(municipality)
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return code ? demographicsForCode(code) : undefined
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|
}
|