Census

UN recommendations also cover census topics to be collected, official definitions, classifications, and other useful information to coordinate international practices."[3] The word is of Latin origin: during the Roman Republic, the census was a list of all adult males fit for military service.Censuses typically began as the only method of collecting national demographic data and are now part of a larger system of different surveys.Current administrative data systems allow for other approaches to enumeration with the same level of detail but raise concerns about privacy and the possibility of biasing estimates.Similarly, stratification requires knowledge of the relative sizes of different population strata, which can be derived from census enumerations.In some countries, the census provides the official counts used to apportion the number of elected representatives to regions (sometimes controversially – e.g., Utah v. Evans).A particular problem is what is termed "communal establishments", a category that includes student residences, religious orders, homes for the elderly, people in prisons, etc.As these are not easily enumerated by a single householder, they are often treated differently and visited by special teams of census workers to ensure they are classified appropriately.People with second homes, because they are working in another part of the country or have a holiday cottage, are difficult to fix at a particular address; this sometimes causes double counting or houses being mistakenly identified as vacant.This is most common among Nordic countries but requires many distinct registers to be combined, including population, housing, employment, and education.It is also possible that the hidden nature[clarification needed] of an administrative census means that users are not engaged with the importance of contributing their data to official statistics.The UNFPA said:[24] "The unique advantage of the census is that it represents the entire statistical universe, down to the smallest geographical units, of a country or region."In addition to making policymakers aware of population issues, the census is also an important tool for identifying forms of social, demographic or economic exclusions, such as inequalities relating to race, ethics, and religion as well as disadvantaged groups such as those with disabilities and the poor.In some countries, census archives are released for public examination after many decades, allowing genealogists to track the ancestry of interested people.[29] This is particularly important when individuals' census responses are made available in microdata form, but even aggregate-level data can result in privacy breaches when dealing with small areas and/or rare subpopulations.For instance, when reporting data from a large city, it might be appropriate to give the average income for black males aged between 50 and 60.Some agencies do this by intentionally introducing small statistical errors to prevent the identification of individuals in marginal populations;[30] others swap variables for similar respondents.[31] The statistical information in the form of conditional distributions (histograms) can be derived interactively from the estimated mixture model without any further access to the original database.[42][43][44][45] The population was registered as having 57,671,400 individuals in 12,366,470 households but on this occasion only taxable families had been taken into account, indicating the income and the number of soldiers who could be mobilized.The oldest recorded census in India is thought to have occurred around 330 BC during the reign of Emperor Chandragupta Maurya under the leadership of Chanakya and Ashoka.The census played a crucial role in the administration of the Roman government, as it was used to determine the class a citizen belonged to for both military and tax purposes.It is said to have been instituted by the Roman king Servius Tullius in the 6th century BC,[49] at which time the number of arms-bearing citizens was supposedly counted at around 80,000.[50] When the Romans conquered Judea in AD 6, the legate Publius Sulpicius Quirinius organized a census for tax purposes, which was partially responsible for the development of the Zealot movement and several failed rebellions against Rome ultimately ending in the Jewish Diaspora.The Gospel of Luke makes reference to Quirinius' census in relation to the birth of Jesus;[51] based on variant readings of this passage, a minority of biblical scholars, including N. T. Wright, speculate that this passage refers to a separate registration conducted during the reign of Herod the Great, several years before Quirinius' census.[52] The 15-year indiction cycle established by Diocletian in AD 297 was based on quindecennial censuses and formed the basis for dating in late antiquity and under the Byzantine Empire.In 1183, a census was taken of the crusader Kingdom of Jerusalem, to ascertain the number of men and amount of money that could possibly be raised against an invasion by Saladin, sultan of Egypt and Syria.Instructions and a questionnaire, issued in 1577 by the Office of the Cronista Mayor, were distributed to local officials in the Viceroyalties of New Spain and Peru to direct the gathering of information.The earliest estimate of the world population was made by Giovanni Battista Riccioli in 1661; the next by Johann Peter Süssmilch in 1741, revised in 1762; the third by Karl Friedrich Wilhelm Dieterici in 1859.[55] In 1931, Walter Willcox published a table in his book, International Migrations: Volume II Interpretations, that estimated the 1929 world population to be roughly 1.8 billion.While new census methods, including online, register-based, and hybrid approaches are being used across the world, these demand extensive planning and preconditions that cannot be created at short notice.
A census taker visits a family of Indigenous Dutch Travellers living in a caravan in the Netherlands in 1925.
A world map showing countries' most recent censuses as of 2020
The Tehran census in 1869 [ 6 ]
An enumerator conducting a census survey using a mobile phone-based questionnaire in the rural Mutasa District in Zimbabwe in 2015
The League of Nations and International Statistical Institute estimates of the world population in 1929
A census taker interviews a resident of Dasmariñas , Philippines , in October 2020.
CenserCensorCensureSenserSensorDutch TravellerscaravanNetherlandspopulationnational population and housing censusescensuses of agricultureUnited NationsFood and Agriculture OrganizationRoman Republicinternational comparisonsdemographicadministrative datasamplingintercensal estimatesmarketingsampling frameopinion pollingstratificationUtah v. EvansTehrancounterintuitivepopulation sizestatisticalhouseholdsde facto residenceagriculturemachineryMutasa DistrictZimbabwecapture-recaptureRoyal Statistical Societyofficial statistics2011 Canadian censusStatistics CanadaMunir Sheikhpropensity score matchinggeographic information systemremote sensingUnited Nations Population FundCanadaStephen HarperJustin TrudeauresearchSustainable Development Goalssubsistence agriculturemicrodatastatistical disclosure controlconditional distributionshistogramsmixture modelCensuses in EgyptMiddle KingdomNew KingdomPharaoh AmasisHerodotusnomarchPtolemiesRomansBiblicalper capita taxTabernacleBook of Numbersplains of MoabSolomonHan dynastycensus in IndiaChandragupta MauryaChanakyaAshokaRoman censorIndictionServius TulliusPublius Sulpicius QuiriniuscensusZealotJewish DiasporaGospel of Lukebirth of JesusN. T. WrightHerod the GreatDiocletianByzantine EmpireMiddle AgesCaliphateRashiduncaliphDomesday BookWilliam I of EnglandcrusaderKingdom of JerusalemSaladinInca Empirequipusalpacabase-10King Philip II of SpainNew SpainGiovanni Battista RiccioliJohann Peter SüssmilchKarl Friedrich Wilhelm DietericiLeague of NationsInternational Statistical InstituteDasmariñasPhilippinesCOVID-19 pandemicpersonal protective equipmentsupply chainsPopulation and housing censuses by countryList of national and international statistical servicesLanguages in censusesLiber CensuumRace and ethnicity in censusesSocial researchfree contentWayback MachineStatistical ScienceOffice for National StatisticsKukutai, TahuBibcodeRobert HymesGeoJournalScheidel, WalterAb urbe conditaFabius PictorWright, NicholasEncyclopædia BritannicaStatisticsOutlineDescriptive statisticsContinuous dataCenterArithmeticArithmetic-GeometricContraharmonicGeneralized/powerGeometricHarmonicHeronianLehmerMedianDispersionAverage absolute deviationCoefficient of variationInterquartile rangePercentileStandard deviationCentral limit theoremMomentsKurtosisL-momentsSkewnessCount dataIndex of dispersionContingency tableFrequency distributionGrouped dataDependencePartial correlationPearson product-moment correlationRank correlationKendall's τSpearman's ρScatter plotGraphicsBar chartBiplotBox plotControl chartCorrelogramFan chartForest plotHistogramPie chartQ–Q plotRadar chartRun chartStem-and-leaf displayViolin plotData collectionStudy designEffect sizeMissing dataOptimal designReplicationSample size determinationStatisticStatistical powerSurvey methodologyClusterStratifiedOpinion pollQuestionnaireStandard errorControlled experimentsBlockingFactorial experimentInteractionRandom assignmentRandomized controlled trialRandomized experimentScientific controlAdaptive clinical trialStochastic approximationUp-and-down designsObservational studiesCohort studyCross-sectional studyNatural experimentQuasi-experimentStatistical 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fitChi-squaredG-testKolmogorov–SmirnovAnderson–DarlingLillieforsJarque–BeraNormality (Shapiro–Wilk)Likelihood-ratio testModel selectionCross validationRank statisticsSample medianSigned rank (Wilcoxon)Hodges–Lehmann estimatorRank sum (Mann–Whitney)Nonparametric1-way (Kruskal–Wallis)2-way (Friedman)Ordered alternative (Jonckheere–Terpstra)Van der Waerden testBayesian inferenceBayesian probabilityposteriorCredible intervalBayes factorBayesian estimatorMaximum posterior estimatorCorrelationRegression analysisPearson product-momentConfounding variableCoefficient of determinationErrors and residualsRegression validationMixed effects modelsSimultaneous equations modelsMultivariate adaptive regression splines (MARS)Linear regressionSimple linear regressionOrdinary least squaresGeneral linear modelBayesian regressionNonlinear regressionSemiparametricIsotonicRobustHomoscedasticity and HeteroscedasticityGeneralized linear modelExponential familiesLogistic (Bernoulli)BinomialPoisson regressionsPartition of varianceAnalysis of variance (ANOVA, anova)Analysis of covarianceMultivariate ANOVADegrees of freedomCategoricalMultivariateTime-seriesSurvival analysisCohen's kappaGraphical modelLog-linear modelMcNemar's testCochran–Mantel–Haenszel statisticsRegressionManovaPrincipal componentsCanonical correlationDiscriminant analysisCluster analysisClassificationStructural equation modelFactor analysisMultivariate distributionsElliptical distributionsNormalDecompositionStationaritySeasonal adjustmentExponential smoothingCointegrationStructural breakGranger causalityDickey–FullerJohansenQ-statistic (Ljung–Box)Durbin–WatsonBreusch–GodfreyTime domainAutocorrelation (ACF)partial (PACF)Cross-correlation (XCF)ARMA modelARIMA model (Box–Jenkins)Autoregressive conditional heteroskedasticity (ARCH)Vector autoregression (VAR)Frequency domainSpectral density estimationFourier analysisLeast-squares spectral analysisWaveletWhittle likelihoodSurvivalSurvival functionKaplan–Meier estimator (product limit)Proportional hazards modelsAccelerated failure time (AFT) modelFirst hitting timeHazard functionNelson–Aalen estimatorLog-rank testApplicationsBiostatisticsBioinformaticsClinical trialsstudiesEpidemiologyMedical statisticsEngineering statisticsChemometricsMethods engineeringProbabilistic designProcessquality controlReliabilitySystem identificationSocial statisticsActuarial scienceCrime statisticsDemographyEconometricsJurimetricsNational accountsPopulation statisticsPsychometricsSpatial statisticsCartographyEnvironmental statisticsGeostatisticsKrigingsurvey researchCollection methodsInterviewStructuredSemi-structuredUnstructuredCoupleMethodologyStatistical sampleSampling for surveysRandom samplingSimple random samplingQuota samplingStratified samplingNonprobability samplingResearch designPanel studyCross-sequential studySurvey errorsSampling errorSampling biasSystematic errorsNon-sampling errorMeasurement errorResponse errorsNon-response biasCoverage errorPseudo-opinionData analysisCategorical dataLevel of measurementExploratory data analysisMultivariate statisticsStatistical modelsGraphicalLog-linearStructuralAudience measurementMarket researchPublic opinionList of comparative social surveysAfrobarometerAmerican National Election StudiesAsian Barometer SurveyComparative Study of Electoral SystemsEurobarometerEuropean Social SurveyGallup PollGeneral Social SurveyHousehold, Income and Labour Dynamics in Australia SurveyInternational Social SurveyLatinobarómetroList of household surveys in the United StatesNational Health and Nutrition Examination SurveyNew Zealand Attitudes and Values StudySuffolk University Political Research CenterThe Phillips Academy PollQuinnipiac University Polling InstituteWorld Values SurveyAmerican Association for Public Opinion ResearchEuropean Society for Opinion and Marketing ResearchPew Research CenterWorld Association for Public Opinion Research