About this dataset

Context

The dataset tabulates the population of Halifax County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Halifax County. The dataset can be utilized to understand the population distribution of Halifax County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Halifax County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Halifax County.

Key observations

Largest age group (population): Male # 65-69 years (1,396) | Female # 55-59 years (1,576). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Halifax County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Halifax County is shown in the following column.
• Population (Female): The female population in the Halifax County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Halifax County for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Halifax County Population by Gender. You can refer the same here

This digital product is a compilation of surficial geological data of the Halifax Metropolitan area which was defined by Dan Utting using a LiDAR derived bare-earth hillshade model. The LiDAR data was collected by PHB Lasermap, and provided by Halifax Regional Municipality. The data was used to create Open File Maps OFM ME 2011-001 to 2011-012, compiled by D. J. Utting, 2011. The digital product was created by Geoscience and Mines Branch staff at the Department of Energy and Mines. The digital product contains layers for geological features such as: age dates, drumlins, eskers, geological contacts, surficial geologic units, ice movement, moraines, meltwater, neatline, station locations, and large aggregate quarries.

This dataset is a compilation of Statistics Canada Dissemination Areas with associated population data from the 2021 Census. Population is rounded to the nearest 5. There were several DA where the data was suppressed therefore the values are NULL.Statistics Canada 2021 Census Dissemination Area Boundary File, lda_000b21f_e.zip. Statistics Canada. Table 98-10-0023-01 Age (in single years), average age and median age and gender: Canada, provinces and territories, census divisions, census subdivisions and dissemination areas.Metadata

Graph and download economic data for Civilian Labor Force in Halifax County, VA (VAHALI3LFN) from Jan 1990 to May 2025 about Halifax County, VA; civilian; VA; labor force; labor; and USA.

This dataset is a compilation of Statistics Canada Dissemination Areas with associated population data from the 2021 Census. Population is rounded to the nearest 5. There were several DA where the data was suppressed therefore the values are NULL.Statistics Canada 2021 Census Dissemination Area Boundary File, lda_000b21f_e.zip. Statistics Canada. Table 98-10-0129-01 Marital status, age group and gender: Canada, Provinces and territories, census divisions, census subdivisions and dissemination areas.Metadata

Le programme de surveillance côtière du Center for Marine Applied Research (CMAR) fournit des données à haute résolution sur les variables océaniques de la côte de la Nouvelle-Écosse.Le programme a été lancé par le Département de la pêche et de l'aquaculture de la Nouvelle-Écosse au début des années 1990.En 2019, CMAR a assumé la responsabilité du programme et élargi sa portée et son mandat.Grâce à la branche de la qualité de l'eau du programme, CMAR recueille la température, l'oxygène dissous et les données de salinité à l'aide de capteurs déployés sur des «chaînes de capteurs».Une chaîne de capteurs se compose généralement d'une ligne ancrée au fond marin par une libération acoustique et suspendue par une bouée de sous-surface, avec des capteurs attachés à différentes profondeurs sous la surface (tel que mesuré à marée basse).Alternativement, une chaîne peut être attachée aux amarres de surface, y compris des quais flottants, des bouées et de l'équipement.Les chaînes de capteurs sont déployées pendant plusieurs mois et les données sont mesurées toutes les minutes à 1 heure.Les capteurs sont récupérés pour le déchargement des données en déclenchant la version acoustique le cas échéant, en éliminant directement les amarres de surface, ou parfois par des plongeurs ou des méthodes de grappling.Des tests automatisés de contrôle de la qualité ont été appliqués aux données pour identifier les observations périphériques et inattendues.Les résultats de ces tests sont résumés dans les colonnes «QC_FLAG» de l'ensemble de données.Chaque point de données se voit attribuer une valeur de drapeau de «passer», «suspect / d'intérêt», «échec» ou «non évalué».Les observations signalées comme «pass» ont passé tous les tests et peuvent être incluses dans les analyses.Les observations d'oxygène dissoutes signalées comme «suspecte / d'intérêt» indiquent probablement des signaux biofulling et doivent être exclues de l'analyse ou utilisées avec une extrême prudence.Les observations pour d'autres variables signalées comme «suspect / d'intérêt» doivent être examinées avant d'être incluses dans les analyses.Les observations signalées comme «échec» doivent être exclues de la plupart des analyses.Certains tests ne peuvent pas être appliqués à certaines observations, qui seront signalées comme «non évaluées».Ces observations peuvent généralement être incluses dans les analyses.Les drapeaux doivent être utilisés uniquement comme guide et les utilisateurs de données sont responsables de l'évaluation de la qualité des données avant l'utilisation dans toute analyse.Pour plus d'informations sur les tests de contrôle de la qualité, visitez le site Web de gouvernance des données CMAR (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html).Le programme de surveillance côtière des données de qualité de l'eau est organisé par le comté.Ces ensembles de données sont très importants, dépassant généralement le nombre de lignes qui peuvent être visualisées dans Excel.CMAR recommande de filtrer les données sur le corps d'eau, la station, la profondeur, le drapeau de contrôle de la qualité et / ou la période d'intérêt avant de l'exportation.Un graphique dérivé de l'ensemble de données permet également le filtrage et l'exportation interactifs (https://data.novascotia.ca/d/vpt7-apvp).L'ensemble de données ''Nova Scotia Water Quality Data: Station Locations'' sur ce portail montre des emplacements supplémentaires avec les données de qualité de l'eau disponibles collectées via le programme de surveillance côtière de CMAR (https://data.novascotia.ca/nature-and-environment/coastal-monitoring-Program-station-Locations / CJFB-F4D4).Les rapports de résumé du comté sont disponibles sur le site Web de CMAR (https://cmar.ca/coastal-monitoring-program/).Les données peuvent également être téléchargées à partir du serveur ERDDAP via la plate-forme canadienne du système d'observation des océans (CIOOS) (https://catalogue.cioosatlantic.ca/dataset?q=cmar).La collecte et la récupération des données sont en cours.Les ensembles de données et les rapports peuvent être révisés en attendant la collecte et les analyses de données en cours.Si vous avez accédé à des données sur le programme de surveillance côtière, CMAR apprécierait vos commentaires: https://docs.google.com/forms/d/e/1faipqlse3td6umrsvvvknql13vvmjipckci2ctonjsgn7_g-4c-tktuw/viewform.Veuillez reconnaître le Center for Marine Applied Research dans tout matériel publié qui utilise ces données.Contactez info@cmar.ca pour plus d'informations.

According to Statistics Canada, Census Metropolitan Areas consisting of one or more neighbouring municipalities situated around a core. A census metropolitan area must have a total population of at least 100,000 of which 50,000 or more live in the core.Statistics Canada Census Metropolitan Area boundary for 2021, lcma000b21a_e (cartographic boundary file)Metadata

This dataset is a compilation of Statistics Canada Dissemination Block with associated population data from the 2021 Census.This dataset was created for statistical purposes and to perform population calculations.According to Statistics Canada, a Dissemination Block (DB) is an area bounded on all sides by roads and/or boundaries of standard geographic areas and is the smallest geographic area for which population and dwelling count data are disseminated. Metadata

Chart and table of population level and growth rate for the Halifax, Canada metro area from 1950 to 2025.

Current speed and direction time series data collected at various locations throughout the coastal waters of Halifax County.

Graph and download economic data for Unemployment Rate in Halifax County, VA (VAHALI3URN) from Jan 1990 to May 2025 about Halifax County, VA; VA; unemployment; rate; and USA.

U.S. Census Bureau QuickFacts statistics for Halifax County, North Carolina. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Graph and download economic data for Unemployed Persons in Halifax County, NC (LAUCN370830000000004) from Jan 1990 to May 2025 about Halifax County, NC; NC; household survey; unemployment; persons; and USA.

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

To support planning by providing demographic forecasts for future scenarios for the Halifax Regional Municipality. The Census Geography indicates the geographical boundaries. This data is updated annually and provided by Statistics Canada.This data is based on Stats Canada Census data and projected into the future using assumptions to create scenarios. This data will be updated on a regular basis as new information becomes available. This data is provided for informational purposes only.Metadata

According to Statistics Canada, Census division (CD) is the general term for provincially legislated areas (counties). Census divisions are intermediate geographic areas between the province/territory level and the municipality (census subdivision).Statistics Canada Census Division boundary file, lcd_000b21f_e (cartographic boundary file)Metadata

Civil registration of deaths in Nova Scotia began in 1864, continued to 1877, then lapsed until 1908, when the province resumed record-keeping. Registrations for 1864-1877 are incomplete. There are two registers for the city of Halifax 1890-1908. Since 1 October 1908, the records have been maintained without interruption.

Financial overview and grant giving statistics of Halifax County Historical Society

About this dataset

Context

The dataset tabulates the population of Halifax County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Halifax County across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.38% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Halifax County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Halifax County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Halifax County Population by Race & Ethnicity. You can refer the same here

This statistic shows the number of visitors to Halifax Citadel historic site in Canada from 2010/11 to 2023/24. The number of visitors to Halifax Citadel historic site amounted to over 771 thousand in the fiscal year 2023/24.