This dataset is about stocks per day and is filtered where the stock is 8012.T, featuring 6 columns including closing price, date, highest price, lowest price, and opening price. The preview is ordered by date (descending).

This dataset is about stocks per day and is filtered where the stock is 8012.T, featuring 3 columns: date, lowest price, and stock. The preview is ordered by date (descending).

Dataset Card for "korean-child-command-voice_train-0-10000_smaplingRate-16000"

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About this dataset

Context

The dataset tabulates the Woodfin population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Woodfin across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Woodfin was 8,012, a 0.46% increase year-by-year from 2022. Previously, in 2022, Woodfin population was 7,975, a decline of 0.29% compared to a population of 7,998 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Woodfin increased by 3,136. In this period, the peak population was 8,012 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Woodfin is shown in this column.
• Year on Year Change: This column displays the change in Woodfin population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Woodfin Population by Year. You can refer the same here

Area exposed to one or more hazards represented on the hazard maps used for risk analysis of the RPP. Hazard maps are the result of the study of hazards whose objective is to assess the intensity of each hazard at any point in the study area. The evaluation method is specific to each hazard type. It leads to the delimitation of a set of areas on the study perimeter constituting a zoning graduated according to the level of the hazard. The allocation of a hazard level at a given point in the territory takes into account the probability of occurrence of the dangerous phenomenon and its degree of intensity. For multi-random PPRNs, each zone is usually identified on the hazard maps by a code for each hazard to which it is exposed.

All hazard areas represented on the hazard maps are included. Areas protected by protective structures must be represented (possibly in a specific way) as they are always considered subject to hazard (case of breakage or inadequacy of the structure). Hazard zones can be described as developed data to the extent that they result from a synthesis using multiple sources of calculated, modelled or observed hazard data. These source data are not concerned by this class of objects but by another standard dealing with the knowledge of hazards. Some areas within the study area are considered “no or insignificant hazard zones”. These are the areas where the hazard has been studied and is nil. These areas are not included in the object class and do not have to be represented as hazard zones. However, in the case of natural RPPs, regulatory zoning may classify certain areas not exposed to hazard as prescribing areas (see definition of the PPR class).

Scope of LIDAR data for which the DDT des Vosges is responsible for the Vosges department (source DDT88/SER/BPR).

Service (XPlanGML 5.0.1) for the plan Change of the development plans in the Neunheim and Neunstadt industrial area of the city of Ellwangen (Jagst)

The available data are the development plan ‘HM 106 1. Amendment ‘Zone zw. Almsstr., Kurzer Hagen, Arnekenstr. and Arnekenstr. 26 27 and 28"’ of the city of Hildesheim.

This airborne or shipborne geophysical survey recorded the following parameters: Total Field Magnetic. The flight line spacing is unknown. The survey was flown between 1952-01-01 and 2011-03-15. The data were Digitally acquired. Platform: Fixed-wing.

This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.

Giving information for government policy on the subject of voluntarily accelerated retirement. Sector of economy: metal industry / voluntarily accelerated retirement personal characteristics family / education / occupation / health / leisure / financial position / guidance received on the subject of voluntarily accelerated retirement / ideas / how was decision to retire ( or not ) made / personality test / characteristics of employer policy to older employees / retirement / changes in personnel / economic position job / work / data both from respondent and from employer evaluation of job / experiences / changes in function / sick-leave / social relations / evaluation of retirement, no retirement / contentment with present situation / replacement in job / characteristics of substitute. Background variables: basic characteristics/ housing situation/ household characteristics/ place of work/ occupation/employment/ income/capital assets/ education/ organizational membership

The State-Spanish Lines are the remains of sixteenth- and seventeenth-century military defenses that were built in the period from the Eighty Years' War (1568-1648) to the French Period (1794). The system of defenses stretched on both sides of the national border from Knokke-Heist in the west to Antwerp in the east. The Lines not only played an important role in determining the national borders between the Netherlands and Belgium, but also in the further history of the two countries. A large part of these lines and fortresses can be found in the landscape. This map shows where the lines are or have been. The associated forts and settlements are not marked on this map. This map also shows the locations of the Fortress Belts around Antwerp and the Zuiderwaterlinie.