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Enregistrement W6976851300 · doi:10.6068/dp153617528e372

TREND: United States Census Bureau. American Community Survey Summary File: 5-Year Estimates: B25074. Household Income by Gross Rent as a Percentage of Household Income in the Past 12 Months | State: California | County: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma | Demographic Indicator*: Total:, 2010 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-050-428

2016· other· en· W6976851300 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2016
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRentingCensusLiberian dollarAmerican Community SurveyHousehold incomePaymentAdjusted gross incomeQuarter (Canadian coin)Economic rent

Résumé

récupéré en direct d'OpenAlex

United States Census Bureau. American Community Survey Summary File: 5-Year Estimates: B25074. Household Income by Gross Rent as a Percentage of Household Income in the Past 12 Months | State: California | County: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma | Demographic Indicator*: Total:, 2010 - 2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-050-428 Dataset: Presents an estimate of the number of renter-occupied housing units in the United States, segmented by household income in the 12 months prior to when the survey was conducted, and further by the percentage the gross rent represents of household income. Estimates are reported for specified geographic areas. Gross rent is the contract rent (rent agreed to or contracted) plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these are paid by the renter (or paid for the renter by someone else). Renter units occupied without payment of rent are shown separately as “No rent paid” in the tabulations. The measure is intended to remove differentials resulting from varying practices for including utility and fuel costs in the rental payment, and provides an indication of housing affordability by geographic area. The dollar values presented are inflated to the latest year’s dollar values by multiplying by a factor equal to the average annual Consumer Price Index (CPI-U-RS) factor for the current year, divided by the average annual CPI-U-RS factor for the earlier/earliest year. The American Community Survey (ACS) conducted by the US Census Bureau provides estimates of the characteristics of the population over a specific time period. The ACS collects data from the 50 states, Washington, DC, and Puerto Rico, where it is called the Puerto Rico Community Survey. It is a continuous survey, in which each month a sample of housing unit addresses receives a questionnaire, with approximately three million addresses surveyed each year. Each year the survey produces data pooled to produce 1-year, 3-year, and 5-year estimates for geographic areas in the US and Puerto Rico, ranging from neighborhoods to congressional districts to the entire nation. Data for each release of the 5-year estimates were collected over a 5-year period ending December 31 of the reference year (eg, data in the 2012 5-year estimates were collected January 1, 2008 - December 31, 2012). The statistics reported represent the characteristics of the population for the entire period vs a specific year within that period. The 5-year estimates are published for areas with populations of all sizes and are the most reliable and precise of the ACS period estimates as well as the most comprehensive, albeit the least current. (The 1-year and 3-year estimates provide data on areas with populations of 65,000+ and 20,000+, respectively). The ACS estimates provide information about the social and economic needs of communities and are used to help determine how more than $400 billion in federal and state funds are distributed each year. It is conducted under the authority of Title 13, United States Code, Sections 141 and 193. Note that counts of the population are provided by the Census of Population and Housing conducted by the US Census Bureau every 10 years; and official estimates of the population are derived from the previous census and from the Census Bureau’s Population Estimates Program. http://www.census.gov/acs/www/data_documentation/summary_file/ Category: Housing and Construction, Prices, Consumption, and Cost of Living Subject: Rental Housing, Household Income, Housing Market, Housing Costs, Rents, Utilities, Cost of Living Source: United States Census Bureau The US Census Bureau is a bureau of the US Department of Commerce. The major functions of the Census Bureau are authorized by Article 2, Section 2 of the United States Constitution, which provides that a census of population shall be taken every 10 years, and by Title 13 and Title 26 of the United States Code of Federal Regulations. The Census Bureau is responsible for numerous statistical programs, including census and surveys of households, governments, manufacturing and industries, and for US foreign trade statistics. The first US census was conducted in 1790 for the purposes of apportioning state representation in the US House of Representatives and for the apportionment of taxes. http://www.census.gov

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante, Science ouverte, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,518
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,000
Méta-épidémiologie (sens strict)0,0030,003
Méta-épidémiologie (sens large)0,0050,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,005
Communication savante0,0010,001
Science ouverte0,0130,005
Intégrité de la recherche0,0010,005
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,272
Écart entre enseignants0,249 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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