Codebook RAI-MLG Regional Authority Index (RAI v. 3) version November 22 2020

Citation for the dataset Shair-Rosenfield, Sarah, Arjan H. Schakel, Sara Niedzwiecki, Gary Marks, Liesbet Hooghe, Sandra Chapman-Osterkatz. 2020. “Language difference and regional authority.” Regional and Federal Studies, online https://doi.org/10.1080/13597566.2020.1831476 [published online Oct 14, 2020]. & Hooghe, Liesbet, Gary Marks, Arjan H. Schakel, Sandra Chapman Osterkatz, Sara Niedzwiecki, Sarah Shair-Rosenfield (2016). Measuring Regional Authority: A Postfunctionalist Theory of Governance, Volume I. Oxford: Oxford University Press, xiv+ 687pp. Data for the Regional Authority Index (RAI) v.3. are available in five different aggregations. RAI- MLG contains the most disaggregated and most comprehensive coding. It provides estimates for all regional tiers and all differentiated regions across 95 countries. Four datasets aggregate this information to a higher level or focus on subsets of regions. A codebook accompanies each dataset. This is the codebook for RAI-MLG.

Contents Table 1: Five RAI V.3 datasets ...... 2 Unit of analysis ...... 3 Special categories: indigenous and metropolitan governance ...... 3 Differentiated regional governance ...... 3 Table 2: Explanation of entries in excel file ...... 5 Table 3: Country id, region id, region name, year-rows in dataset ...... 10

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Table 1: Five RAI V.3 datasets RAI-MLG Annual scores for each individual region or regional tier from 1950- 2018. Each row breaks a region–year down into ten dimensions, two domains, overall RAI. This is the master dataset that has a comprehensive record of all scores at the most disaggregated level. RAI-Country Annual scores for each country from 1950-2018. Each row breaks a country–year down in ten dimensions, two domains, and overall RAI. RAI-Region Annual scores for the most authoritative regional tier from 1950-2018. Each row breaks a tier–year down into ten dimensions, two domains, and overall RAI. RAI-Metro Annual scores for each individual metropolitan region or metropolitan tiers from 1950-2018. Each row breaks a metro–year down into ten dimensions, two domains, and overall RAI. RAI-Indigenous Annual scores for each individual indigenous region or collective indigenous territorial arrangements from 1950-2018. Each row breaks an indigenous–year down into ten dimensions, two domains, and overall RAI.

A codebook accompanies each dataset. This is the codebook for RAI-MLG.

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Unit of analysis The unit of analysis is the individual region which we define as a jurisdiction between national government and local government. We draw the boundary between local and regional government at an average population level of 150,000. This excludes the lowest tier of government, but allows us to capture intermediate governments, often arrayed at two nested jurisdictional levels between the local and national. We relax the population criteria for individual jurisdictions that stick out from a tier of government that meets the regional threshold, such as Greenland, or the Galapagos islands. A regional jurisdiction may be part of a regional tier or self-standing. A regional tier may cover the entire territory or part of the territory. Jurisdictions that make up a regional tier may be contiguous or non-contiguous.

Special categories: indigenous and metropolitan governance An indigenous region is a general purpose jurisdiction created with the explicit purpose to provide governance for an indigenous people or peoples.1 A region is coded as indigenous when it meets the following criteria: a) it exists between the local level of government and the national level; b) the jurisdiction is codified in law. An indigenous region may or may not be contiguous, and it does not need to meet the population criterion. A metropolitan region is a contiguous general purpose jurisdiction that combines one, two, or more cities and their surrounding municipalities to deal with issues stemming from conurbanization. A region is coded as metropolitan if it meets the following criteria: a) it exists between the local level of government and the national level; b) metropolitan jurisdictions within a country have on average a population of at least 150,000; and c) the jurisdiction is codified in law.

Differentiated regional governance Each region is evaluated on whether its jurisdictional status is differentiated from that of standard regions at its tier. This differentiated status is almost always reflected in a different

1 There is no generally accepted definition of an indigenous people. The UN permanent Forum for Indigenous Issues suggests the following: self-identification as an indigenous people; historical continuity with pre-colonial and/or pre-settler societies; a strong link to a territory and its natural resources; distinct social, economic, or political norms; a distinct language, culture, and beliefs; status as a non-dominant group of society; commitment to maintain and reproduce their ancestral heritage as a distinctive people (http://www.un.org/esa/socdev/unpfii/documents/5session_factsheet1.pdf). In practice, the definition varies widely across countries. In settler states colonized by Europeans, it is usually unproblematic to pinpoint indigenous people, but in Asia and Africa, where the majority of the world’s 250 to 600 million indigenous peoples live, it is often less clear where to draw the line and governments tend to exploit this gray zone to minimize their existence. 3 score on self-rule or shared rule from standard regions, or if there are no standard regions, in an anomalous status in the country. A standard region is defined as follows: • A standard region (S) is part of a regional tier. Standard regions have a uniform institutional set up. Hence, standard regions are scored in a tier (e.g. Changwat, Cantons, Länder), each of which has a separate entry in the dataset. Each year of evaluation has a separate row. Our measure distinguishes three kinds of differentiated regions: • An asymmetric region (Y) is embedded in a national tier, yet has distinctive authority on one or several dimensions of the RAI. Asymmetry is usually specified in one or more executive decisions, constitutional articles, or special clauses in framework legislation. • An autonomous region (A) is exempt from the country-wide constitutional framework and receives special treatment as an individual jurisdiction. It operates mostly in a bilateral setting with the central state alone. The arrangement is laid down in a special protocol, statute, special law, or separate section of the constitution. • A dependency (D) is not part of a standard tier, but is governed hierarchically by the central state. It has a separate government with no, or very little, authority. Standard, asymmetry, autonomy, and dependency are mutually exclusive categorizations. All regions, including indigenous and metropolitan regions, are assessed on these criteria, and no region can have more than one categorization at a given time. If a non-standard region becomes a standard region, it ceases to have a separate entry and is included in the standard tier. Conversely, a standard region that becomes non-standard acquires a separate entry from the year of its changed status. Regional tiers and differentiated regions are evaluated on the same scale. We evaluate five dimensions of self-rule: institutional depth, policy scope, fiscal autonomy, borrowing autonomy, and representation. We evaluate five dimensions of shared rule: law making, executive control, fiscal control, borrowing control, and constitutional reform. There are two forms of shared rule. We code a region as having multilateral shared rule when its authority is contingent on coordination with other regions. We code a region as having bilateral shared rule when its authority is not contingent on coordination with other regions. For a detailed discussion of the coding schema, please read: Hooghe, Liesbet, Gary Marks, Arjan H. Schakel, Sandra Chapman Osterkatz, Sara Niedzwiecki, Sarah Shair-Rosenfield (2016). Chapter Three: How We Apply the Coding Scheme. A Postfunctionalist Theory of Governance. Volume I: Measuring Regional Authority. Oxford: Oxford University Press.

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Table 2: Explanation of entries in excel file

VARIABLE NAME RANGE VALUES AND LABELS cowcode 2-920 Correlates of War codes (http://www.correlatesofwar.org) iso3166 8-891 International Organization for Standardization (ISO 3166-1) countryid 1-152 Country ID (see table below) country_name Country name in English (see table below) abbr_country Abbreviation of country name regionid 101-15212 Region ID (see table below) region_name Name of region in local language (see table below) year 1950-2018 Year of evaluation tier 1-5 1: highest tier 2: second tier 3: third tier 4: fourth tier 5: fifth tier metro 1=metropolitan governance; 0=other indigenous 1=indigenous; 0=other type S: standard region Y: asymmetrical region A: autonomous region D: dependent region instdepth 0-3 The extent to which a regional government is autonomous rather than deconcentrated: 0: no functioning general-purpose administration at regional level 1: deconcentrated, general-purpose, administration 2: non-deconcentrated, general–purpose, administration subject to central government veto 3: non-deconcentrated, general–purpose, administration *not* subject to central government veto. policyautonomy 0-4 The range of policies for which a regional government is responsible: 0: very weak authoritative competence in a), b), c), d) whereby a) economic policy; b) cultural-educational policy; c) welfare policy; d) one of the following: residual powers, police, own institutional set–up, local government 1: authoritative competencies in one of a), b), c) or d) 2: authoritative competencies in at least two of a), b), c), or d) 3: authoritative competencies in d) and at least two of a), b), or c) 4: criteria for 3 plus authority over immigration or citizenship. fiscalautonomy 0-4 The extent to which a regional government can independently tax its population: 0: central government sets base and rate of all regional taxes 1: regional government sets the rate of minor taxes 2: regional government sets base and rate of minor taxes

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3: regional government sets the rate of at least one major tax: personal income, corporate, value added, or sales tax 4: regional government sets base and rate of at least one major tax. borrowautonomy 0-3 The extent to which a regional government can borrow: 0: the regional government does not borrow (e.g. centrally imposed rules prohibit borrowing) 1: the regional government may borrow under prior authorization (ex ante) by the central government and with one or more of the following centrally imposed restrictions: a. golden rule (e.g. no borrowing to cover current account deficits) b. no foreign borrowing or borrowing from the central bank c. no borrowing above a ceiling d. borrowing is limited to specific purposes 2: the regional government may borrow without prior authorization (ex post) and under one or more of a), b), c), d), e) 3: the regional government may borrow without centrally imposed restrictions. representation 0-4 The extent to which a region has an independent legislature and executive, which is the sum of assembly and executive. lawmaking 0-2 The extent to which regional representatives co–determine national legislation, which is the sum of L1 to L6 (max=2). executivecontrol 0-2 The extent to which a regional government co–determines national policy in intergovernmental meetings, which is the maximum value of exec_multilateral and exec_bilateral. fiscalcontrol 0-2 The extent to which regional representatives co–determine the distribution of national tax revenues, which is the maximum value of fiscal_multilateral and fiscal_bilateral. borrowcontrol 0-2 The extent to which a regional government co–determines subnational and national borrowing constraints, which is the maximum value of borrow_multilateral and borrow_bilateral. constitutional 0-4 The extent to which regional representatives co–determine constitutional change, which is the maximum value of constit_multilateral and constit_bilateral. selfrule 0-18 The authority exercised by a regional government over those who live in the region, which is the sum of instdepth, policyautonomy, fiscalautonomy, borrowautonomy, and representation. sharedrule 0-12 The authority exercised by a regional government or its representatives in the country as a whole, which is the sum of lawmaking, executivecontrol, fiscalcontrol, borrowcontrol, and constitutional. RAI 0-30 Regional authority index, which is the sum of selfrule and sharedrule. COMPONENTS instdepth 0-3 Same as instdepth policyautonomy 0-4 Same as policyautonomy fiscalautonomy 0-4 Same as fiscalautonomy

6 borrowautonomy 0-4 Same as borrowautonomy assembly 0-2 0: no regional assembly 1: indirectly elected regional assembly 2: directly elected assembly executive 0-2 0: regional executive appointed by central government 1: dual executive appointed by central government and regional assembly 2: regional executive appointed by a regional assembly or directly elected L1lawmaking 0-0.5 0: a region or regional tier is *not* the unit of representation in a national legislature 0.5: a region or regional tier is the unit of representation in a national legislature L2lawmaking 0-0.5 0: a regional government or regional tier does *not* designate representatives in a national legislature 0.5: a region or regional tier designates representatives in a national legislature L3lawmaking 0-0.5 0: regions do *not* have majority representation in a national legislature based on regional representation 0.5: regions have majority representation in a national legislature based on regional representation L4lawmaking 0-0.5 0: the legislature based on regional representation does *not* have extensive legislative authority 0.5: the legislature based on regional representation has extensive legislative authority L5lawmaking 0-0.5 0: the regional government or its regional representatives in a national legislature are *not* consulted on national legislation affecting the region 0.5: the regional government or its regional representatives in a national legislature are consulted on national legislation affecting the region L6lawmaking 0-0.5 0: the regional government or its regional representatives in a national legislature do *not* have veto power over national legislation affecting the region 0.5: the regional government or regional representatives in a national legislature have veto power over national legislation affecting the region exec_multilateral 0-2 0: no routine meetings between the central government and regional governments to negotiate policy 1: routine meetings between the central government and regional governments without legally binding authority 2: routine meetings between the central government and regional governments with legally binding authority exec_bilateral 0-2 0: no routine meetings between the central government and the regional government to discuss national policy affecting the region 1: routine meetings between the central government and the regional government without legally binding authority

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2: routine meetings between the central government and the regional government with legally binding authority fiscal_multilateral 0-2 0: neither the regional governments nor their representatives in a national legislature are consulted over the distribution of national tax revenues 1: regional governments or their representatives in a national legislature negotiate over the distribution of national tax revenues, but do not have a veto 2: regional governments or their representatives in a national legislature have a veto over the distribution of national tax revenues fiscal_bilateral 0-2 0: neither the regional government nor its representatives in a national legislature are consulted over the distribution of tax revenues affecting the region 1: the regional government or its representatives in a national legislature negotiate with the central government over the distribution of tax revenues affecting the region, but does not have a veto 2: the regional government or its representatives in a national legislature have a veto over the distribution of tax revenues affecting the region borrow_multilateral 0-2 0: regional governments are not routinely consulted over borrowing constraints 1: regional governments negotiate routinely over borrowing constraints, but do not have a veto 2: regional governments negotiate routinely over borrowing constraints and have a veto borrow_bilateral 0-2 0: the regional government is not routinely consulted over borrowing constraints affecting the region 1: the regional government negotiates routinely over borrowing constraints affecting the region, but does not have a veto 2: the regional government negotiates routinely over borrowing constraints affecting the region, and has a veto

8 constit_multilateral 0-4 0: the central government or national electorate can unilaterally reform the constitution 1: a legislature based on regional representation can propose or postpone constitutional reform, raise the decision hurdle in the other chamber, require a second vote in the other chamber, or require a popular referendum 2: regional governments or their representatives in a national legislature propose or postpone constitutional reform, raise the decision hurdle in the other chamber, require a second vote in the other chamber, or require a popular referendum 3: a legislature based on regional representation can veto constitutional change; or constitutional change requires a referendum based on the principle of equal regional representation 4: regional governments or their representatives in a legislature can veto constitutional change constit_bilateral 0-4 0: the central government or national electorate can unilaterally reform the region's constitutional relation with the center 1: a regional referendum can propose or postpone reform of the region’s constitutional relation with the center 2: the regional government can propose or postpone reform of the region’s constitutional provisions or require a popular referendum 3: a regional referendum can veto a reform of a region’s constitutional relation with the center 4: the regional government can veto a reform of the region's constitutional relation with the center popweight 0-1 Population weight=proportion of country population in this region

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Table 3: Country id, region id, region name, year-rows in dataset Country Country Name Region Region Name Year-rows in ID ID the dataset 1 Albania 101 Qarku [counties] 2000-2018 201 States 1950-2018 2 Australia 202 Northern Territory 1950-2018 203 Australian Capital Territory 1950-2018 301 Länder 1955-2018 3 Austria 302 Wien 1955-2018 401 Provincies/ Provinces 1950-2018 402 Vlaamse Gemeenschap 1970-2018 403 Communauté française 1970-2018 404 Deutsche Gemeinschaft 1970-2018 405 Région wallonne 1980-2018 4 Belgium 406 Brussel Gewest/Bruxelles-Région 1989-2018 407 Brusselse Agglomeratie/Agglomération 1971-1989 bruxelloise 408 Provincies (in Vlaamse Gemeenschap) 2018 409 Provinces (in Région wallonne) 2018 498 Combined authority (C française + R wallonne) 1970-2018 499 Additional authority Vl G & C française in 1970-2018

Brussels 501 Federacija 1995-2018 Bosnia and 5 502 Republika Srpska 1995-2018 Herzegovina 503 Županije/kantoni in Federacija 1995-2018 6 Bulgaria 601 Oblasti [regions] 1991-2018 701 Provinces 1950-2018 702 Quebec 1950-2018 703 Northwest Territories 1950-2018 704 Yukon 1950-2018 705 Nunavut 1999-2018 706 Indian Act bands 1950-2018 707 Self-governing Aboriginal People 1977-2018 708 In Ontario: Counties (in Ontario) 1950-2018 709 Conférences régionales des élus (in Quebec) 2006-2018 7 Canada 710 Regional districts (in British Colombia) 1968-2018 711 Communauté urbaines (in Quebec) 1970-2018 712 Communauté métropolitaine (in Quebec) 2002-2018

713 Regional municipalities* (in Ontario) 1968-1976 714 Regional municipalities** (in Ontario) 1973-2018 715 Regional municipalities*** (in Ontario) 1954-1976 716 Regional municipalities**** (in Ontario) 1956-2018

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Country Country Name Region Region Name Year-rows in ID ID the dataset 801 Županije [counties] 1993-2018 8 Croatia 802 Grad Zagreb 1993-2018 9 Cyprus 901 Eparchies [provinces] 1960-2018 1001 Kraje [regions] 2000-2018 10 Czech Republic 1002 Regiony soudržnosti [Cohesion regions] 2000-2018 1003 Hlavního města Prahy [Capital City Prague] 2000-2018 1101 Amtskommuner [County municipalities] 1950-2006 1102 Regioner 2007-2018 1103 Føroyar/ Færøerne 1950-2018 11 Denmark 1104 Kalaallit Nunaat/ Grønland 1950-2018 1105 Hovedstadsrådet [Capital city council] 1970-1989 1106 Hovedstadens Udviklingsråd 2000-2006 1301 Läänit [counties] 1950-2009 1302 Aluehallintovirasto 2010-2018 [regional state administration] 1303 Maakunnat [provinces] 1993-2018 13 Finland 1304 Kainuu 2005-2012 1305 Åland 1950-2018 1306 Pääkaupunkiseudun yhteistyövaltuuskunta 1974-2009 [Helsinki metropolitan] 1401 Départements 1950-2018 1402 Régions 1964-2018 1403 Corse 1975-2018 14 France 1404 Ville de Paris 1968-2018 1405 Communautés urbaines 1967-2018 1406 Métropoles 2012-2018 1501 Länder 1950-2018 1502 Landschaftsverbände (in Nordrhein- 1950-2018 Westfalen) 1503 Bezirksverband Pfalz (in Rheinland-Pfalz) 1950-2018 1504 Regierungsbezirke 1950-2018 Germany (FRG 1505 Regierungsbezirke (in Nordrhein-Westfalen) 1950-2018 15 until 1990) 1506 Bezirke (in Bayern) 1950-2018 1507 (Land)Kreise 1950-2018 1508 Stadtstaaten 1950-2018 1509 Kreisfreie Städte 1950-2018 1510 Regionalverband Ruhr (in Nordrhein- 2004-2018 Westfalen) 1601 Nomoi [prefectures] 1950-2010 1602 Periphereies [regions] 1986-2018 16 Greece 1603 Aghion Oros [Mount Athos] 1950-2018 1604 Apokentroménes dioikíseis [decentralized 2011-2018 administrations] 11

Country Country Name Region Region Name Year-rows in ID ID the dataset 1701 Megyék [counties] 1990-2018 17 Hungary 1702 Megyei jogú városok [urban counties] 1990-2018 1703 Tervezési-statisztikai régiók [planning regions] 1999-2012 1901 Development regions 1987-1993 1902 Regional authorities 1994-2014 19 Ireland 1903 Regional assemblies 2015-2018 1904 County Councils 2014-2018 1905 City and City and County councils 2014-2018 2001 Province 1950-2018 2002 Bozen-Südtirol/Bolzano-Alto Adige 1950-2018 2003 Trento 1950-2018 2004 Regioni a statuto ordinare 1970-2018 2005 Friuli-Venezia Giulia 1963-2018 20 Italy 2006 Sardegna 1950-2018 2007 Sicilia 1950-2018 2008 Trentino-Alto Adige/Südtirol 1950-2018 2009 Valle d’Aosta 1950-2018 2010 Città metropolitana 2015-2018 2011 Liberi consorzi comunali (in Sicilia) 2014-2018 2101 Ken [prefecture] 1950-2018 2102 Fu/do/to 1950-2018 [urban /territory/metropolis prefecture] 21 Japan 2103 Seirei shitei toshi [designated cities] 1957-2018 2104 Chūkakushi [core cities] 1996-2018 2105 Tokuereishi [special cities] 2000-2018 22 Latvia 2201 Plānošanas reģioni [planning regions] 2009-2018 2301 Apskritys [counties] 1995-2009 23 Lithuania 2302 Regioninės plėtros agentūros [regional 2010-2018 development agencies] 2501 Planski ryegioni [planning regions] 2007-2018 25 Macedonia 2502 City of Skopje 1996-2018 2701 Provincies 1950-2018 27 Netherlands 2702 Openbaar Lichaam Rijnmond [public body R] 1965-1985 2703 Plusregios/Stadsregios 2006-2014 2801 Regions 1974-2018 28 New Zealand 2802 Auckland 1963-1988 2803 Wellington 1974-1988 2901 Fylker [counties] 1950-2018 29 Norway 2902 Svalbard 1950-2018 2903 Oslo 1950-2018 30 Poland 3001 Województwa [voivodeships] 1990-2018 3002 Miasto stołeczne Warszawa [Warsaw Capital] 1994-2001

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Country Country Name Region Region Name Year-rows in ID ID the dataset 3003 Miasto na prawach powiatu 1999-2018

[cities with county rights] 3101 Distritos 1950-2014 3102 Açores 1976-2018 3103 Madeira 1976-2018 3104 Comissões de cooperação e desenvolvimento 1979-2018 regional 31 Portugal 3105 Área Metropolitana de Lisboa 1991-2018 3106 Área Metropolitana do Porto 1991-2018 3107 Grandes área metropolitana 2004-2008 3108 Comunidades urbanas 2004-2008 3109 Comunidades intermunicipais 2009-2018 3201 Judete [counties] 1991-2018 32 Romania 3202 Regiuni de dezvoltare [development regions] 1998-2018 3203 București [Bucharest] 1991-2018 3301.01 Adygeya 1993-2018 3301.02 Altai 1993-2018 3301.03 Bashkortostan 1993-2018 3301.04 Buryatiya 1993-2018 3301.05 Chechen 1993-2018 3301.06 Chuvash 1993-2018 3301.07 Crimea 2014-2018 3301.08 Dagestan 1993-2018 3301.09 Ingushetiya 1993-2018 3301.1 Kabardino-Balkar 1993-2018 3301.11 Kalmykiya 1993-2018 3301.12 Karachai-Cherkess 1993-2018 Russian 33 3301.13 Kareliya 1993-2018 Federation 3301.14 Khakasiya 1993-2018 3301.15 Komi 1993-2018 3301.16 Marii-El 1993-2018 3301.17 Mordoviya 1993-2018 3301.18 North Osetiya-Alaniya 1993-2018 3301.19 Sakha (Yakutiya) 1993-2018 3301.20 Tatarstan 1993-2018 3301.21 Tyva 1993-2018 3301.22 Udmurt 1993-2018 3302.01 Agin–Buryat 1993-2007 3302.02 Altai 1993-2018 3302.03 Amur 1993-2018

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Country Country Name Region Region Name Year-rows in ID ID the dataset 3302.04 Archangel 1993-2018 3302.05 Astrakhan 1993-2018 3302.06 Belgorod 1993-2018 3302.07 Bryansk 1993-2018 3302.08 Chelyabinsk 1993-2018 3302.09 Chita 1993-2007 3302.10 Chukot 1993-2018 3302.11 Evenk 1993-2006 3302.12 Irkutsk 1993-2018 3302.13 Ivanovo 1993-2018 3302.14 Kaliningrad 1993-2018 3302.15 Kaluga 1993-2018 3302.16 Kamchatka 1993-2018 3302.17 Kemerovo 1993-2018 3302.18 Khabarovsk 1993-2018 3302.19 Khanty-Mansii-Yugra 1993-2018 3302.20 Kirov 1993-2018 3302.21 Komi-Permyak 1993-2005 3302.22 Koryak 1993-2006 3302.23 Kostroma 1993-2018 3302.24 Krasnodar 1993-2018 3302.25 Krasnoyarsk 1993-2018 3302.26 Kurgan 1993-2018 3302.27 Kursk 1993-2018 3302.28 Leningrad 1993-2018 3302.29 Lipetsk 1993-2018 3302.30 Magadan 1993-2018 3302.31 Moscow 1993-2018 3302.32 Murmansk 1993-2018 3302.33 Nenets 1993-2018 3302.34 Nizhnii Novgorod 1993-2018 3302.35 Novgorod 1993-2018 3302.36 Novosibirsk 1993-2018 3302.37 Omsk 1993-2018 3302.38 Orenburg 1993-2018 3302.39 Oryol 1993-2018 3302.40 Penza 1993-2018 3302.41 Perm 1993-2018 3302.42 Primorskii (Maratime) 1993-2018 3302.43 Pskov 1993-2018 3302.44 Rostov 1993-2018 14

Country Country Name Region Region Name Year-rows in ID ID the dataset 3302.45 Ryazan 1993-2018 3302.46 Sakhalin 1993-2018 3302.47 Samara 1993-2018 3302.48 Saratov 1993-2018 3302.49 Smolensk 1993-2018 3302.50 Stavropol 1993-2018 3302.51 Sverdlovsk 1993-2018 3302.52 Tambov 1993-2018 3302.53 Taymyr (Dolgano-Nenetsk) 1993-2006 3302.54 Tomsk 1993-2018 3302.55 Tula 1993-2018 3302.56 Tver 1993-2018 3302.57 Tyumen 1993-2018 3302.58 Ulyanovsk 1993-2018 3302.59 Ust-Orda Buryat 1993-2007 3302.60 Vladimir 1993-2018 3302.61 Volgograd 1993-2018 3302.62 Vologda 1993-2018 3302.63 Voronezh 1993-2018 3302.64 Yamalo-Nenets 1993-2018 3302.65 Yaroslavl 1993-2018 3302.66 Yevrey (Jewish autonomous oblast) 1993-2018 3302.67 Zabaykalsky/Transbaikal 2008-2018 3303 Federalnyye gorod Moscow [Moscow] 1993-2018 3304 Federalnyye gorod Sankt Petersburg [Saint 1993-2018 Petersburg] 3305 Federalnyye gorod Sevastopol [Sevastopol] 2014-2018 3306 Federalnyye okruga [federal districts] 2000-2018 3401 Republika Crna Gora (Montenegro) 1992-2006 3402 Republika Srbija [Serbia] 1992-2006 Serbia and 3403 Okruzi [districts] 1992-2006 34 Montenegro 3405 Kosovo 1992-1998 3406 Vojvodina 1992-2006 3407 Beograd [Belgrade] 1992-2006 3501 Kraje [regions] 1996-2001 35 Slovakia 3502 Samosprávné kraje [self-governing regions] 2002-2018 3503 Hlavného mesta Bratislavy [Bratislava Capital] 1993-2018 3601 Regionalne razvojne agencije 1999-2018 36 Slovenia 3602 Mestne občine Ljubljana [Ljubljania City] 2004-2018 3701 Provincias 1950-2018 37 Spain 3702.01 Andalucia 1982-2018

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Country Country Name Region Region Name Year-rows in ID ID the dataset 3702.02 Aragón 1983-2018 3702.03 Canarias 1983-2018 3702.04 Cantabria 1982-2018 3702.05 Castilla-La Mancha 1983-2018 3702.06 Castilla y León 1983-2018 3702.07 Catalunya/Cataluña 1980-2018 3702.08 Ceuta 1956-2018 3702.09 Comunidad de Madrid 1983-2018 3702.10 Comunidad Foral de Navarra/Nafarroa 1950-2018 3702.11 Comunidad Valencia 1982-2018 3702.12 Euskadi/Pais Vasco 1980-2018 3702.13 Extremadura 1983-2018 3702.14 Galiza/Galicia 1981-2018 3702.15 Islas Baleares 1983-2018 3702.16 La Rioja 1982-2018 3702.17 Melilla 1956-2018 3702.18 Principo de Asturias 1982-2018 3702.19 Région de Murcia 1982-2018 3703 Araba/Álava 1950-2018 3704 Bizkaia/Vizcaya 1950-2018 3705 Gipuzkoa/Guipúzcoa 1950-2018 3706 Cabildo insulares (in Canarias) 1950-2018 3707 Consejos insulares (in Islas Baleares) 1978-2018 3708 Comarcas (in Catalunya/Cataluña) 1987-2018 3709 Val d’Aran (in Catalunya/Cataluña) 1991-2018 3710 Entidad Municipal Metropolitana de Barcelona 1974-2009 (in Catalunya/Cataluña) 3711 Area Metropolitana de Barcelona (in 2010-2018 Catalunya/Cataluña) 3712 Barcelona (in Catalunya/Cataluña) 1998-2018 3713 Palmas de Mallorca (in Islas Baleares) 2006-2018 3714 Zaragoza (in Aragón) 2018 38 Sweden 3801 Län/ Landstinge [county (councils)] 1950-2018 39 Switzerland 3901 Cantons/ Kantone/ Cantoni 1950-2018 4001 Iller [provinces] 1950-2018 4002 Kalkinma ajanslari [development agencies] 2009-2018 40 Turkey 4003 Büyükşehir belediyeleri [metropolitan 1984-2018 municipalities] 4101 Counties 1950-2018 4102 County boroughs 1950-1973 41 United Kingdom 4103 Non-metropolitan counties 1974-2018 4104 Metropolitan counties 1974-1985 16

Country Country Name Region Region Name Year-rows in ID ID the dataset 4105 County of London 1950-1964 4106 County of Greater London 1965-1985 4107 Greater London Authority 2000-2018 4108 Counties (in Scotland) 1950-1974 4109 Counties of cities (in Scotland) 1950-1974 4110 Regions (in Scotland) 1975-1995 4111 Regions/Regional authorities (in England) 1994-2011 4112 Northern Ireland 1950-2018 4113 Scotland 1950-2018 4114 Wales 1964-2018 4115 Combined authorities 2011-2018 4116 Mayoral combined authorities 2017-2018 4201 States 1950-2018 4202 Alaska 1950-1958 4203 Hawaii 1950-1958 4204 Puerto Rico 1950-2018 4205 Indian Tribes 1950-2018 4206 Washington DC 1950-2018 42 United States 4207 Counties* 1950-2018 4208 Counties** 1950-2018 4209 Counties (in Massachusetts)* 1950-2018 4210 Counties (in Massachusetts)** 1950-2018 4211 Metropolitan Council (in Minnesota) 1976-2018 4212 Metro (in Oregon) 1979-2018 4301 Mehozot [districts] 1950-2018 43 Israel 4302 Nafot [sub-districts] 1950-2018 4501 Okruzi [districts] 2006-2018 4502 Vojvodina 2006-2018 45 Serbia 4503 Regionalni razvoјni saveti [regional 2009-2018 development councils] 4504 Beograd [Belgrade] 2006-2018 4701 Oblastey [provinces] 1996-2018 4702 Kyiv 1996-2018 47 Ukraine 4703 Sevastopol 1996-2013 4704 Crimea Oblast 1996-2013 8001 Provinsi 1950-2018 8002 Kabupaten/Kota 1950-2018 8003 Daerah Istimewa Yogyakarta 1950-2018 80 Indonesia 8004 DKI Jakarta 1966-2018 8005 Aceh (NAD) 1957-2018 8006 Papua 2001-2018 8007 Kab/Kota dalam DKIJ 1966-2018

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Country Country Name Region Region Name Year-rows in ID ID the dataset 8101 Negeri [states] 1957-2018 8102 Sarawak 1963-2018 8103 Singapore 1963-1964 8104 Kuala Lumpur 1974-2018 8105 Bandarayan/ Perbandaran [city/municip] 1957-2018 81 Malaysia 8106 SS Bandarayan/ Perbandaran in Sabah & 1963-2018 Sarawak 8107 Labuan 1984-2018 8108 Putrajaya 2001-2018 8109 Sabah 1963-2018 8201 Provinces 1950-2018 82 Philippines 8202 Independent cities 1983-2018 8206 Mindanao 1979-2018 8301 Changwat [provinces] 1950-2018 83 Thailand 8303 Bangkok 1972-2018 8304 Pattaya 1978-2018 8401 Do [provinces] 1952-2018 8402 Seoul teukbyeol [special city] 1962-2018 8403 Jikhalsi/ Gwangyeoksi [cities] 1981-2018 84 South Korea 8404 Jeju teukbyeol jachido [special self-governing 2006-2018 province] 8405 Sejong teukbyeol-jachisi [special self- 2012-2018 governing city] 8901 Taing [regions] 1950-2018 8902 Karen 1950-1973 8903 Karenni 1950-1973 8904 Kachin 1950-1973 8905 Shan 1950-1973 8906 Chin Hills District 1950-1973 8907 Districts 1950-1974, 2011-2018 89 Myanmar 8908 Pyi Ne [states] 1974-2018 8909 Pjìdàʊɴzṵnɛmjè̀ [pyitaunsunemyei – Union 2010-2018 territory -- Naypyidaw] 8910 Kòbàɪɴ oʊtɕhoʊ khwɪ̰ɴja̰hdèθa̰ 2010-2018 [koup̱ain outhcou hkwinya deitha –Self- Administered Zone] 8911 Kòbàɪɴ oʊtɕhou khwɪ̰ɴja̰htáɪɴ 2010-2018 [koup̱ain outhcou hkwinya tain –Self- Administered Division] 9001 Khaet [provinces] 1953-2018 90 Cambodia 9002 Reach thani [Phnom Penh] 1953-2018 91 China 9101 Greater Administrative Areas 1950-1954

18

Country Country Name Region Region Name Year-rows in ID ID the dataset 9102 Prefectures 1950-2018 9103 Prefecture-level cities 1950-2018 9104 Counties and city-counties 1950-2018 9105 Municipalities (including Bejing) 1950-2018 9106 Provinces 1955-2018 9107 Inner Mongolia Autonomous Region 1954-2018 9108 Xinjiang Uyghur Autonomous Region 1955-2018 9109 Ningxia Hui Autonomous Region 1958-2018 9110 Guangxi Zhuang Autonomous Region 1958-2018 9111 Xizang (Tibetan) Autonomous Region 1965-2018 9112 Special Economic Zone of Hainan 1988-2018 9113.01 Special Economic Zone of Shantou 1979-2018 9113.02 Special Economic Zone of Shenzhen 1979-2018 9113.03 Special Economic Zone of Xiamen 1979-2018 9113.04 Special Economic Zone of Zhuhai 1979-2018 9114 Special Economic Zones of Kashgar & Korghas 2010-2018 9115 Hong Kong Special Administrative Region 1997-2018 9116 Macau Special Administrative Region 1999-2018 9201 Khoueng [provinces] 1953-2018 92 Laos 9202 Kampheng Nakhon [prefecture Vientiane] 1991-2018 9203 Khetphiset Xaisomboun 1994-2006 93 Mongolia 9301 Ulaanbaatar 1992-2018 9401 Jillā [Jilla -districts] 1950-2018 9402 Anchal [zones] 1962-2014 94 Nepal 9403 Vikās kṣetra [Vikas kshetra -- region] 1971-2014 9404 Provinces 2018 9501 Provinces 1975-2018 Papua New 95 9502 Bougainville 2005-2018 Guinea 9503 National Capital District 1990-2018 9601 Palata [provinces] 1987-2018 9602 North Eastern Palata 1990-2007 96 Sri Lanka 9603 Northern Palata 2008-2013 9604 Disa [districts] 1950-2018 9701 Sheng [provinces] 1950-2017 9702 Xian [counties] 1950-2018 97 Taiwan 9703 Shi [provincial cities] 1950-2018 9704 Zhixiashi [special municipalities] 1967-2018 9801 Tỉnh [Tinh] [provinces] 1950-2018 Vietnam 9802 Thành Phố Trực Thuộc Trung ương 1999-2018 98 (North Vietnam [Thanh Pho Truc Thuoc Trung Uong] until 1974) [municipalities] 100 Argentina 10001 Provincias 1950-2018

19

Country Country Name Region Region Name Year-rows in ID ID the dataset 10002 Ciudad Autónoma de Buenos Aires 1950-2018 10003 Tierra del Fuego 1950-1990 10004 Misiones 1950-1952 10005 Chaco 1950 10006 La Pampa 1950 10007 Formosa 1950-1954 10008 Neuquén 1950-1954 10009 Rio Negro 1950-1954 10010 Chubut 1950-1954 10011 Santa Cruz 1950-1954 10401 Departamentos 1950-2018 10402 Gran Chaco 2018 104 Bolivia 10403 Territorios Autónomos Indígenas/ Autonomías 1990-2018 indígenas originaria campesina 10501 Estados 1950-2018 10502 Território Federal de Fernando de Noronha 1950-1987 10503 Território Federal de Guaporé/Rondônia 1950-1981 10504 Território Federal de Amapá 1950-1987 10505 Território Federal de Rio Branco 1950-1987 10506 Distrito Federal 1950-2018 10507.01 Zona da Mata 2011-2018 10507.02 Caetés 2012-2018 10507.03 Palmeira dos Índios 2012-2018 10507.04 Agreste 2009-2018 10507.05 Médio Sertão 2013-2018 10507.06 São Francisco 2012-2018 10507.07 Sertão 2012-2018 10507.08 Vale do Paraíba 2011-2018 105 Brazil 10507.09 Maceió 1998-2018 10507.10 Manaus 2007-2018 10507.11 Macapá 2003-2018 10507.12 Feira de Santana 2012-2018 10507.13 Salvador 1973-2018 10507.14 Fortaleza 1973-2018 10507.15 Sobral 2016-2018 10507.16 Cariri 2009-2018 10507.17 Grande Vitoria 1995-2018 10507.18 Goiânia 1999-2018 10507.19 Grande São Luís 1998-2018 10507.20 Sudoeste Maranhense 2005-2018 10507.21 Belo Horizonte 1973-2018 10507.22 Vale do Aço 1998-2018 20

Country Country Name Region Region Name Year-rows in ID ID the dataset 10507.23 Vale do Rio Cuiabá 1993-2018 10507.24 Belém 1973-2018 10507.25 Santarém 2012-2018 10507.26 Cajazeiras 2012-2018 10507.27 Campina Grande 2009-2018 10507.28 Guarabira 2011-2018 10507.29 João Pessoa 2003-2018 10507.30 Patos 2011-2018 10507.31 Recife 1973-2018 10507.32 Apucarana 2015-2018 10507.33 Campo Mourão 2015-2018 10507.34 Cascavel 2015-2018 10507.35 Curitiba 1973-2018 10507.36 Londrina 1998-2018 10507.37 Maringá 1998-2018 10507.38 Umuarama 2012-2018 10507.39 Rio de Janeiro 1974-2018 10507.40 Natal 1997-2018 10507.41 Porto Velho 2015-2018 10507.42 Capital 2007-2018 10507.43 Serra Gaúcha 2013-2018 10507.44 Sul 1990-2018 10507.45 Litoral Norte 2004-2018 10507.46 Porto Alegre 1973-2018 10507.47 Carbonífera 2002-2018 10507.48 Foz do Rio Itajai 2002-2018 10507.49 Chapecó 2010-2018 10507.50 Florianópolis 1998-2018 10507.51 Lages 2010-2018 10507.52 Turbarão 2002-2018 10507.53 Alto Vale do Itajaí 2010-2018 10507.54 Contestado 2010-2018 10507.55 Extremo Oeste 2012-2018 10507.56 Norte/Nordeste Catarinense 1998-2018 10507.57 Vale do Itajaí 1998-2018 10507.58 Aracaju 1995-2018 10507.59 Baixada Santista 1996-2018 10507.60 Campinas 2000-2018 10507.61 Ribeirão Preto 2016-2018 10507.62 São Paulo 1974-2018 10507.63 Piracicaba 2012-2018 10507.64 Jundiaí 2011-2018

21

Country Country Name Region Region Name Year-rows in ID ID the dataset 10507.65 Socoraba 2012-2018 10507.66 Vale do Paraíba e Litoral Norte 2014-2018 10507.67 Gurupi 2014-2018 10507.68 Palmas 2014-2018 10507.69 Franca 2018 10601 Provincias 1950-2018 106 Chile 10602 Regiones 1976-2018 10701 Departamentos 1950-2018 10702 Distrito Capital 1950-2018 10703 San Andres, Providencia and Santa Catarina 1991-2018 107 Colombia 10704 Resguardos Indigenas 1991-2018 10705 Intendencias and Comisarías 1950-1990 10706 Distritos Especiales 1987-2018 10707 Áreas metropolitanas 1981-2018 10801 Provincias 1950-1995 108 Costa Rica 10802 Territorios Indigenas 1977-2018 10901 Provincias 1950-2018 109 Cuba 10902 Isla de la Juventud 1976-2018 Dominican 11001 Provincias 1950-2018 110 Republic 11002 Distrito Nacional 1950-2018 11101 Provincias 1950-2018 11102 Galápagos 1973-2018 111 Ecuador 11103 Circunscripción Territorial Especial Amazónica 2018 11104 Distrito Metropolitano de Quito 1993-2018 11201 Departamentos 1950-2018 112 El Salvador 11202 Área Metropolitana de San Salvador 1994-2018 113 Guatemala 11301 Departamentos 1950-2018 115 Haiti 11501 Départements 1950-2018 116 Honduras 11601 Departamentos 1950-2018 11801 Estados 1950-2018 11802 Distrito Federal 1950-2018 11803 California Baja 1950-1952 11804 California Baja Sur 1950-1973 11805 Quintana Roo 1950-1973 118 Mexico 11806 Zonas metropolitanas of Colima, Jalisco, and 2006-2018 Coahuila 11807 Consejos para el Desarrollo Metropolitano 2008-2018 11808 Zonas metropolitanas of Hidalgo, Chiapas, 2009-2018 Campeche, Quintana Roo, and Zacatecas 11901 Departamentos 1950-2018 119 Nicaragua 11902 Región Autónoma del Norte 1987-2018 11903 Región Autónoma del Sur 1987-2018 22

Country Country Name Region Region Name Year-rows in ID ID the dataset 11904 Managua-Distrito Nacional 1950-2018 12001 Provincias 1950-2018 12002 Kuna Yala 1950-2018 12003 Emberá-Wounaan 1983-2018 120 Panama 12004 Ngöbe-Buglé 1997-2018 12005 Kuna de Madugandí 1996-2018 12006 Kuna de Wargandí 2000-2018 12101 Departamentos 1950-2018 121 Paraguay 12102 Distrito Capital 1950-2018 12201 Departamentos 1950-2018 12202 Metro municipality of Lima 2003-2018 122 Peru 12203 Provincia Constitucional del Callao 2003-2018 12204 Provincias 1950-2018 12205 Regiones 1989-1992 Trinidad & 12401 Tobago 1962-2018 124 Tobago 125 Uruguay 12501 Departamentos 1950-2018 12601 Estados 1950-2018 12602 Distrito Federal 1950-2018 12603 Distrito Capital 2000-2018 12604 Dependencias Federales 1950-2018 126 Venezuela 12605 Territorio Federal de Delta Amacuro 1950-1990 12606 Territorio Federal de Amazonas 1950-1991 12607 Distrito Metropolitano Alto Apure 2004-2017 12608 Distrito Metropolitano de Caracas 2001-2017 15000.01 Assam 1950-2018 15000.02 Bombay state 1950-1959 15000.03 Bihar 1950-2018 15000.04 Madhya Pradesh 1950-2018 15000.05 Odisha 1950-2018 15000.06 Punjab 1950-2018 15000.07 Tamil Nadu (Madras) 1950-2018 15000.08 Uttar Pradesh 1950-2018 150 India 15000.09 West Bengal 1950-2018 15000.10 Hyderabad state 1950-1956 15000.11 Jammu and Kashmir (partitioned in Ladakh 1950-2018 and J&K UT late 2019) 15000.12 Madhya Barat 1950-1956 15000.13 Patiala state & East Punjab 1950-1956 15000.14 Rajasthan 1950-2018 15000.15 Saurashtra 1950-1956

23

Country Country Name Region Region Name Year-rows in ID ID the dataset 15000.16 Travancore-Cochin 1950-1956 15000.17 Ajmer 1950-1956 15000.18 Bhopal 1950-1956 15000.19 Bilaspur state 1950-1954 15000.20 Coorg state 1950-1956 15000.21 Himachal Pradesh 1950-2018 15000.22 Kutch state 1950-1956 15000.23 Manipur 1950-2018 15000.24 Tripura 1950-2018 15000.25 Vindhya Pradesh 1950-1956 15000.26 Karnataka (Mysore until 1956) 1950-2018 15000.27 Andhra Pradesh 1957-2018 15000.28 Kerala 1957-2018 15000.29 Lakshadweep 1957-2018 15000.30 Nagaland 1957-2018 15000.31 Gujarat 1960-2018 15000.32 Maharashtra 1960-2018 15000.33 Dadra & Nagar Haveli (merged with Daman & 1962-2018 Diu 2020) 15000.34 Goa 1962-2018 15000.35 Puducherry 1963-2018 15000.36 Chandigarh 1967-2018 15000.37 Haryana 1967-2018 15000.38 Arunachal Pradesh 1972-2018 15000.39 Meghalaya 1972-2018 15000.40 Mizoram 1972-2018 15000.41 Sikkim 1975-2018 Daman and Diu ((merged with Dadra & Nagar 1987-2018 15000.42 Haveli 2020) 15000.43 Chhattisgarh 2001-2018 15000.44 Jharkhand 2001-2018 15000.45 Uttarakhand 2001-2018 15000.46 Telangana 2014-2018 15000.47 Delhi 1950-2018 15000.48 Andaman & Nicobar islands 1950-2018 15001 Part A & Part B states 1950-1956 15002 Part C states excluding Delhi 1950-1956 15003 Part C Delhi 1950-1956 15004 Part D states (A&N) 1950-1956 15005 States 1957-2018

24

Country Country Name Region Region Name Year-rows in ID ID the dataset 15006 Union Territories 1957-2018 15007 Divisions 1950-2018 15008 Districts 1950-2018 15008.01 Districts within Assam 1994-2018 15008.03 Districts within Bihar 1993-2018 15008.04 Districts within Madhya Pradesh 1994-2018 15008.05 Districts within Odisha 1993-2018 15008.06 Districts within Punjab 1994-2018 15008.07 Districts within Tamil Nadu 1994-2018 15008.08 Districts within Uttar Pradesh 1995-2018 15008.09 Districts within West Bengal 1994-2018 15008.11 Districts within Jammu and Kashmir 1993-2018 15008.14 Districts within Rajasthan 1993-2018 15008.16 Districts within Travancore-Cochin 1950-1956 15008.21 Districts within Himachal Pradesh 1994-2018 15008.23 Districts within Manipur 1994-2018 15008.24 Districts within Tripura 1994-2018 15008.26 Districts within Karnataka 1993-2018 15008.27 Districts within Andhra Pradesh 1994-2018 15008.28 Districts within Kerala 1957-2018 15008.30 Districts within Nagaland 1993-2018 15008.31 Districts within Gujarat 1993-2018 15008.32 Districts within Maharashtra 1993-2018 15008.34 Districts within Goa 1994-2018 15008.35 Districts within Puducherry 1993-2018 15008.37 Districts within Haryana 1994-2018 15008.39 Districts within Meghalaya 1993-2018 15008.40 Districts within Mizoram 1993-2018 15008.41 Districts within Sikkim 1993-2018 15008.43 Districts within Chhattisgarh 1994-2018 15008.44 Districts within Jharkhand 2001-2018 15008.45 Districts within Uttarakhand 2001-2018 15008.47 Districts within Delhi 1993-2018 15008.48 Districts within Andaman and Nicobar 1994-2018 15009 Autonomous districts 1950-2018 15009.00 Karbi Anglong 1952-2018 1 15009.00 Dima Hasao 1970-2018 2 15009.00 Bodoland 2003-2018 3 25

Country Country Name Region Region Name Year-rows in ID ID the dataset 15010 Subdistricts 1950-2018 15010.01 Subdistricts within Assam 1994-2018 15010.03 Subdistricts within Bihar 1993-2018 15010.04 Subdistricts within Madhya Pradesh 1993-2018 15010.06 Subdistricts within Punjab 1994-2018 15010.07 Subdistricts within Tamil Nadu 1993-2018 15010.08 Subdistricts within Uttar Pradesh 1995-2018 15010.09 Subdistricts within West Bengal 1994-2018 15010.11 Subdistricts within Jammu and Kashmir 1993-2018 15010.14 Subdistricts within Rajasthan 1993-2018 15010.26 Subdistricts within Karnataka 1993-2018 15010.28 Subdistricts within Kerala 1994-2018 15010.31 Subdistricts within Gujarat 1993-2018 15010.32 Subdistricts within Maharashtra 1993-2018 15010.37 Subdistricts within Haryana 1994-2018 15010.43 Subdistricts within Chattisgarh 2001-2018 15010.44 Subdistricts within Jharkhand 2001-2018 15011 Municipal Corporations 1950-2018 15011.01 MCs in Assam 1974-2018 15011.02 MCs in Bombay state 1950-1959 15011.03 MCs in Bihar 1952-2018 15011.05 MCs in Odisha 1994-2018 15011.06 MCs in Punjab 1978-2018 15011.07 MCs in Tamil Nadu 1950-2018 15011.08 MCs in Uttar Pradesh 1959-2018 15011.09 MCs in West Bengal 1950-2018 15011.10 MCs in Hyderabad state 1950-1956 15011.11 MCs in Jammu and Kashmir 2000-2018 15011.14 MCs in Rajashtan 1994-2018 15011.16 MCs in Travancore_Cochin 1950-1956 15011.21 MCs in Himachal Pradesh 1950-2018 15011.23 MCs in Manipur 2014-2018 15011.24 MCs in Tripura 2014-2018 15011.25 MCs in Madhya Pradesh 1957-2018 15011.26 MCs in Karnataka 1950-2018 15011.27 MCs in Andhra Pradesh 1950-2018 15011.28 MCs in Kerala 1957-2018 15011.30 MCs in Nagaland 2001-2018 15011.31 MCs in Gujarat 1960-2018 15011.32 MCs in Maharashtra 1960-2018 26

Country Country Name Region Region Name Year-rows in ID ID the dataset 15011.34 MCs in Goa 1993-2018 15011.36 MCs in Chandigarh 1994-2018 15011.37 MCs in Haryana 1994-2018 15011.40 MCs in Mizoram 2016-2018 15011.41 MCs in Sikkim 1975-2018 15011.43 MCs in Chhatisgarh 2001-2018 15011.44 MCs in Jharkhand 2001-2018 15011.45 MCs in Uttarkhand 2004-2018 15011.46 MCs in Telangana 2014-2018 15011.47 MCs in Delhi 1958-2018 15101 Divisions 1972-2018 15102 Districts 1972-2018 15103 Subdistricts 1972-2018 (not 1992-2008) 151 Bangladesh 15104 City Corporations (at subdistrict level) 1982-2018 15105 Chittagong Hill Tracts (CHT) Districts: 1989-2018 Bandarban, Khagrachhari, Rangamati 15106 Chittagong Hill Tracts (CHT) regional council 1999-2018 15200 Units (West & East) 1956-1969 15201 Provinces 1950-2018 (not 1956-1969) 15202 Federally Administered Tribal Areas (FATA) 1950-2018 (abolished 2018) 15203 Federal Capital Territory 1950-2018 15204 Azad Jammu Kashmir (AJK) 1950-2018 15205 Gilgit-Baltistan (Northern Areas) 1950-2018 15206 Divisions 1950-2018 (except 2000- 08) 15207 Districts 1950-2011 152 Pakistan 15207.01 Districts in AJK 1990-2018 15207.02 Districts in Baluchistan 2011-2018 15207.03 Districts in Khyber-Pakhtunkhwa 2011-2018 (Northwestern frontier province) 15207.04 Districts in Punjab 2011-2018 15207.05 Districts in Sindh 2011-2018 15208 Provincially Administered Tribal Areas (PATA) 1950-2018 (abolished 2018) 15209 Subdistricts (tehsils, taluka) 1950-2010 15209.03 Subdistricts in Khyber-Pak 2011-2018 15209.04 Subdistricts in Punjab 2011-2012 15209.05 Subdistricts in Sindh 2011-2012

27

Country Country Name Region Region Name Year-rows in ID ID the dataset 15210 Units 1956-1969 15211.02 Metro corporation in Baluchistan (Quetta) 2011-2018 15211.03 City district in Khyber-P (Peshawar) 2013-2018 15211.04 Metro Corp in Punjab (Lahore) 2013-2018 15211.05 Karachi metropolitan corporation (Sindh) 1980-2018 (year gaps) 15212.02 Municipal corporations in Baluchistan 2011-2018 15212.04 Municipal corporations in Punjab 2013-2018 15212.05 Municipal corporations in Sindh 2013-2018

28