There are 435 seats in the U.S. House of Representatives, of which 52 are allocated to the state of California. Seats in the House are allocated based on the population of each state. To ensure proportional and dynamic representation, congressional apportionment is reevaluated every 10 years based on census population data. After the 2020 census, six states gained a seat - Colorado, Florida, Montana, North Carolina, and Oregon. The states of California, Illinois, Michigan, New York, Ohio, Pennsylvania, and West Virginia lost a seat.

Key Table Information.Table Title.Income and Apportionment of State-Administered Lottery Funds: U.S. and States: 2012 - 2023.Table ID.GOVSTIMESERIES.GS00SG02.Survey/Program.Public Sector.Year.2024.Dataset.PUB Public Sector Annual Surveys and Census of Governments.Source.U.S. Census Bureau, Public Sector.Release Date.2025-04-10.Release Schedule.The Annual Survey of State Government Finances occurs every year. Data are released every January. There are approximately 18 months between the reference period and data release. Revisions to published data occur annually going back to the previous Census of Goverments. Census of Governments years, those ending in '2' and '7' may have slightly later releases due to extended processing time..Dataset Universe.Census of Governments - Organization (CG):The universe of this file is all federal, state, and local government units in the United States. In addition to the federal government and the 50 state governments, the Census Bureau recognizes five basic types of local governments. The government types are: County, Municipal, Township, Special District, and School District. Of these five types, three are categorized as General Purpose governments: County, municipal, and township governments are readily recognized and generally present no serious problem of classification. However, legislative provisions for school district and special district governments are diverse. These two types are categorized as Special Purpose governments. Numerous single-function and multiple-function districts, authorities, commissions, boards, and other entities, which have varying degrees of autonomy, exist in the United States. The basic pattern of these entities varies widely from state to state. Moreover, various classes of local governments within a particular state also differ in their characteristics. Refer to the Individual State Descriptions report for an overview of all government entities authorized by state.The Public Use File provides a listing of all independent government units, and dependent school districts active as of fiscal year ending June 30, 2024. The Annual Surveys of Public Employment & Payroll (EP) and State and Local Government Finances (LF):The target population consists of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Survey of Public Pensions (PP):The target population consists of state- and locally-administered defined benefit funds and systems of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Surveys of State Government Finance (SG) and State Government Tax Collections (TC):The target population consists of all 50 state governments. No local governments are included. For the purpose of Census Bureau statistics, the term "state government" refers not only to the executive, legislative, and judicial branches of a given state, but it also includes agencies, institutions, commissions, and public authorities that operate separately or somewhat autonomously from the central state government but where the state government maintains administrative or fiscal control over their activities as defined by the Census Bureau. Additional details are available in the survey methodology description.The Annual Survey of School System Finances (SS):The Annual Survey of School System Finances targets all public school systems providing elementary and/or secondary education in all 50 states and the District of Columbia..Methodology.Data Items and Other Identifying Records.Detail of state-administered lottery funds:Lottery incomeLottery prizesLottery adminstrationLottery proceeds availableDefinitions can be found by clicking on the column header in the table or by accessing the Glossary.For detailed information, see Government Finance and Employment Classification Manual..Unit(s) of Observation.The basic reporting unit is the governmental unit, defined as an organized entity which in addition to having governmental character, has sufficient discretion in the management of its own affairs to distinguish it as separate from the administrative structure of any other governmental unit.The reporting units for the Annual Survey of School System Finances are public school systems that provide elementary and/or secondary education. The term "public school systems" includes two types ...

The paper introduces a new electoral system, based on proportional representation, called apportioned voting because each vote is apportioned among the candidates. Apportioned voting can be thought of as an enhanced and generalized hybrid of cumulative voting and single transferable vote (also known as proportional ranked-choice voting). Apportioned voting can efficiently handle government and corporate elections with large numbers of voters, positions to fill, and candidates. The paper provides a detailed description of apportioned voting, illustrative examples of apportioned voting’s election performance, and the Octave scripts used to implement apportioned voting and compute the example results.

Data layer for 2021 St. Louis County Council District reapportionment. Census data was obtained from the U.S. Census Bureau. St. Louis County Council Districts, municipal boundaries, and county boundary can all be found on the St. Louis County Open Government website. Questions regarding this data can be directed to the St. Louis County Data Officer.

This data contains general government sector operating expenses, sourced from the Australian Bureau of Statistics historical data and the Department of Treasury and Finance, categorised by ‘government purpose classification’ (GPC) and ‘classification of the functions of government’ (COFOG).\r \r The Australian system of Government Finance Statistics (GFS) was revised by the Australian Bureau of Statistics, with the release of the Australian System of Government Finance Statistics: Concepts, Sources and Methods 2015 Cat. No. 5514.0.\r \r Implementation of the updated GFS manual has resulted in the COFOG framework replacing the former GPC framework, with effect from the 2018-19 financial year for financial reporting under AASB 1049.\r \r The underlying data from 1961-62 to 1997-98 represents a conversion from the original cash series to an accruals basis by estimating depreciation and superannuation expenses based on statistical modelling.\r \r Although the conversion provides a basis for comparison with total expenses in the current series of accrual GFS information from 1998 (in the attached table), the estimated accrued expense items have not been apportioned to individual purpose classifications.\r \r The absence of these splits between functional classifications in the attached table data therefore represents a break in the series and it is not possible to compare individual purpose categories with those in other tables.\r \r Similarly, the transition from GPC to COFOG represents an additional break in the series and comparability between the two frameworks will not be possible.\r \r The key reporting changes from GPC to COFOG are as follows:\r \r - the number of categories has reduced from 12 under GPC to 10 under COFOG; \r - the fuel and energy, agriculture, forestry, fishing and hunting categories have been abolished and are now part of the new economic affairs category. The majority of the outputs in other economic affairs are also included in this new category;\r - public debt transactions have moved from the other purposes category (i.e. primarily interest expense on borrowings) to general public services category;\r - a new environmental protection category was created to include functions such as waste management, water waste management, pollution and production of biodiversity and landscape, which were previously classified under housing and community amenities category, as well as national and state parks functions from the recreation and culture category; and\r - housing functions such as housing assistance and housing concessions are now part of the social protection category

The amounts of national tax and county/city tax to be levied in New Taipei City in the year 2019.

New Taipei City's 107th Year National Tax and County Tax Revenue Allocation Table.

Abstract

Census of Population and Housing (CPH) refers to the entire process of collecting, compiling, evaluating, analyzing, publishing, and disseminating data about the population and the living quarters in a country. It entails the listing and recording of the characteristics of each individual and each living quarter as of a specified time and within a specified territory. In other words, the CPH offers a “snapshot” of the entire population on a specific date, that is, how many people reside within the national borders, who they are, and where they live during such specified date. Also, included are the characteristics of the housing units where they reside.

The 2010 CPH is designed to take an inventory of the total population and housing units in the Philippines and collect information about their characteristics. The census of population is the source of information on the size and distribution of the population, as well as their demographic, social, economic, and cultural characteristics. The census of housing, on the other hand, provides information on the stock of housing units and their structural characteristics and facilities which have bearing on the maintenance of privacy and health, and the development of normal family living conditions. These information are vital for making rational plans and programs for local and national development.

Specifically, the 2010 CPH aims to: - obtain comprehensive data on the size, composition, and distribution of the population of the Philippines; - gather data on birth registration, literacy, school attendance, place of school, highest grade/year completed, residence 5 years ago, overseas worker, usual occupation, kind of business or industry, class of worker, place of work, fertility, religion, citizenship, ethnic group, disability, and functional difficulty, and determine their geographic distribution; - take stock of the housing units existing in the country and to get information about their geographic location, structural characteristics, and facilities, among others; - obtain information on the characteristics of the barangay, which will be used as basis for urban-rural classification; and - serve as sampling frame for use in household-based surveys.

Data collected in this census were compiled, evaluated, analyzed, published, and disseminated for the use of government, business, industry, social scientists, other research and academic institutions, and the general public. Among the important uses of census data are the following:

In government: - redistricting and apportionment of congressional seats; - allocation of resources and revenues; - creation of political and administrative units; - formulation of policies concerning population and housing; and - formulation of programs relative to the delivery of basic services for health, education, housing, and others

In business and industry: - determination of sites for establishing businesses; - determination of consumer demands for various goods and services; and - determination of supply of labor for the production of goods and services

In research and academic institutions: - conduct of researches on population and other disciplines; and - study of population growth and distribution as basis in preparing projections

Geographic coverage

National coverage Regions Provinces Cities and Municipalities Barangays

Analysis unit

household questionnaire: individuals (household members), households, housing units institutional questionnaire: individuals (institutional population), institutional living quarters barangay questionnaire: barangay

Universe

Census-taking in the Philippines follows a de-jure concept wherein a person is counted in the usual place of residence or the place where the person usually resides. Information on the count of the population and living quarters were collected with 12:01 a.m. of May 1, 2010 as the census reference time and date.

The following individuals were enumerated:

• Those who were present at the time of visit and whose usual place of residence is the housing unit where the household lives.

• Those whose usual place of residence is the place where the household lives but are temporarily away at the time of the census.

• Boarders/lodgers of the household or employees of household-operated businesses who do not usually return/go to their respective homes weekly.

• Overseas workers and who have been away at the time of the census for not more than five years from the date of departure and are expected to be back within five years from the date of last departure.

• Filipino "balikbayans" with usual place of residence in a foreign country but have resided or are expected to reside in the Philippines for at least a year from their arrival.

• Citizens of foreign countries who have resided or are expected to reside in the Philippines for at least a year from their arrival, except members of diplomatic missions and non-Filipino members of international organizations.

• Persons temporarily staying with the household who have no usual place of residence or who are not certain to be enumerated elsewhere.

Kind of data

Census/enumeration data [cen]

Sampling procedure

In the 2010 CPH, there are basically two types of questionnaires used for the enumeration of household members. These are CPH Form 2 or the Common Household Questionnaire and CPH Form 3 or the Sample Household Questionnaire. CPH Form 3 contains more questions than CPH Form 2.

The 2010 CPH was carried out through a combination of complete enumeration and sampling. For this census, systematic cluster sampling was adopted. This sampling method is designed in such a way that efficient and accurate estimates will be obtained at the city/municipality level.

The sampling rate or the proportion of households to be selected as samples depends on the size of the city/municipality where the Enumeration Area (EA) is located. For the cities/municipalities with estimated number of households of 500 and below, 100 percent sampling rate was used. While for those cities/municipalities with estimated number of households of 501 and above, a sampling rate of 20 percent was implemented.

In this sampling scheme, each city/municipality was treated as a domain. For city/municipality with 100 percent sampling rate, all households in all the EAs within this city/municipality were selected as samples. For those with a 20 percent sampling rate, systematic cluster sampling was adopted. That is, sample selection of one in five clusters with the first cluster selected at random. Thus in effect, the EAs belonging to the city/municipality with 20 percent sampling rate are divided into clusters of size 5. Random start is pre-determined for each EA.

If the sampling rate applied to a city/municipality is 100 percent, it means that all households in that municipality were administered with CPH Form 3. If it is 20 percent, it means that 20 percent of all households used CPH Form 3 while 80 percent used CPH Form 2.

The random start used by EA is a number from 1 to 5 which was used to select the cluster where the first sample households in an EA, and subsequently the other sample households, were included.

Clusters are formed by grouping together households that have been assigned consecutive serial numbers as they were listed in the Listing Booklet. For a 20 percent sampling rate, clusters were formed by grouping together five households.

Mode of data collection

Face-to-face [f2f]

Research instrument

CPH Form 1 - Listing Booklet This form is a booklet used to list the buildings, housing units, households, and the Institutional Living Quarters (ILQs) within an EA. This form also records other important information such as the name of household heads and name and type of institutions and their addresses, population totals, and counts of males and females.

CPH Form 2 - Common Household Questionnaire This is the basic census questionnaire, which was used to interview and record information about the common or nonsample households. This questionnaire gathered information on the following demographic and socio-economic characteristics of the population: relationship to household head, sex, date of birth, age, birth registration, marital status, religion, ethnicity, citizenship, disability, functional difficulty, highest grade/year completed, residence 5 years ago, and overseas worker. It also contains questions on the type of building/house, construction materials of the roof and outer walls, state of repair of the building/house, year the building/house was built, floor area of the housing unit, and tenure status of the lot.

CPH Form 3 - Sample Household Questionnaire This is the basic census questionnaire, which was used to interview and record information about the sample households. This questionnaire contains ALL questions asked in CPH Form 2 PLUS additional population questions: literacy, school attendance, place of school, usual occupation, kind of business or industry, class of worker, place of work, and some items on fertility. Moreover, there are additional questions on household characteristics: fuel for lighting and cooking, source of water supply for drinking and/or cooking and for laundry, and bathing, tenure status of the housing unit, acquisition of the housing unit, source of financing of the housing unit, monthly rental of the housing unit, tenure status of the lot, usual manner of garbage disposal, kind of toilet facility, and land ownership. It also asked questions on the language/dialect generally spoken at home, residence five years from now, and presence of household conveniences/devices, and access to internet.

CPH Form 4 -

This report summarizes Alberta's performance in 2009 in meeting the requirements of the Master Agreement on Apportionment for the South Saskatchewan River Basin. This report relies on the data provided in the Prairie Provinces Water Board's annual report for 2009, which contains the official water quantity and quality results for the year.

Changes in governance indicators in Nigeria with additional revenue equivalent to that lost to tax havens.

This dataset provides information on local precepting authorities (parishes, charter trustees and Temples) and the amount of council tax collected on their behalf by their billing authorities in England, known as a precept, for the financial years 2013-14 and 2014-15. Data are collected from Council Tax Return Forms completed by local authorities. A process has been undertaken to match the parishes recorded to standard ONS codes, but it has not been possible to match Charter Trustees, Temples and 26 parishes, and therefore these will not appear in map(s) as they do not have an ONS Code.

This release provides information on individual local parishes and the amount of council tax collected on their behalf by their billing authorities in England, for the financial year 2013-14.

This is the first year that the Department for Communities and Local Government (DCLG) has collected data about individual parishes. Up to and including 2012-13 this information was collected by the Chartered Institute of Public Finance and Accountancy (CIPFA).

The information in this release is derived from the local precepting authorities section (lines 23, 24 and 25) submitted by all 326 billing authorities in England; and the individual local data section (lines 23x, 24x and 25x) of the Council Tax Requirement (CTR1) forms submit-ted by 241 parished billing authorities. The data are as reported by local authorities, and have been subjected to rigorous validation processes.

The release has been compiled by the Local Government Finance - Data Collection, Analy-sis and Accountancy division of the Department for Communities and Local Government. Parishes and other local precepting authorities in England, 2013-14

There are more than 10,000 parishes in England. A parish may be represented by a parish council, a town council or community council. In the case of small parishes, the parish meet-ing (an annual meeting of all electors in a parish) can take on the role of parish council. Par-ishes represent the most local level of Government in England - the third tier of local gov-ernment.

In a small number of the un-parished areas bodies called “charter trustees” exist. These bodies exist to administer ceremonial functions, such as the appointment of a mayor, where there is no parish to administer them. There are currently 16 such bodies in England one less than in 2012-13 due to Crewe in Cheshire becoming a parish council on 4 April 2013.

There are two further local precepting authorities: the Inner and Middle Temples of London (“the Temples”) situated within the Temple area of the City of London. The Temples are dif-ferent from parishes and charter trustees in that they perform the functions within their area that are performed by the City of London authority (“the City”). In exchange for performing these functions the City pays the Temples an annual precept apportioned from the council tax raised by the City.

Parish or village councils need funds to support their activities. These funds are raised by adding an extra cost known as a "precept" to each householder's Council Tax bill. Parishes (together with charter trustees and the two Temples of London as described above) are col-lectively known as “local precepting authorities”. This means they have the power to raise a precept on properties in their area in order to finance the functions that they perform. Parish precepts are included separately on council tax bills and are collected by the billing authority on behalf of the parish.

Some smaller parishes may group together for precepting purposes and will perform this function as one local precepting authority and for the purposes of this release are counted as 1 parish.

Further information is provided in the Definitions section of this release. (https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/260449/Parishes_and_other_precepting_authorities_2013-14_England_revised_.pdf)

Special factors affecting comparability to previous years

This is the first time DCLG has collected local parish council tax data. Changes to the council tax system and the method for collecting individual parish data mean these figures are not directly comparable to earlier years and caution must be taken when interpreting time trends. Significant factors which have affected comparability include:

Localisation of council tax support; a change in the way council tax benefit is paid. Council tax support is now paid in the form of a grant passed down to parishes from their billing authori-ties and is not included in the local precept. Previously individual council taxpayers might re-ceive support to pay their council tax bill from DWP. The value of this support would have been included in the local precept. However, taxpayers now have their bills covered by coun-cil tax support and therefore are removed from the tax base, whereas under the old system they would previously have been included. The localisation of council tax support has reduced the local precept and the tax bases significantly compared to earlier years (see Definitions for further details).

Parish groupings; in some cases parishes have been grouped together for precepting pur-poses. This makes the number of parishes setting a precept in 2013-14 look smaller than in previous collections - for example data collected by CIPFA split all groupings and listed all parishes individually.

Data previously published on local precepting authorities can be accessed here: https://www.gov.uk/government/publications/parishes-and-charter-trustees-in-england-2012-to-2013.

Revisions

This is a revised version of the original statistical release on Parishes and other local precepting authorities: 2013-14 England. The revisions are minor and do not change the headline figures.

These adjustments correct for an error in the way the data were originally uploaded.

Average government revenue per capita and coverage of rights in 2022 [22,23].