About this dataset

Context

The dataset tabulates the Curtis 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 Curtis 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 2022, the population of Curtis was 839, a 2.57% increase year-by-year from 2021. Previously, in 2021, Curtis population was 818, an increase of 1.49% compared to a population of 806 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Curtis decreased by 8. In this period, the peak population was 940 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-curtis-ne-population-by-year-2000-2022.jpeg" alt="Curtis population by year">

Content

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

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Curtis is shown in this column.
• Year on Year Change: This column displays the change in Curtis 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 Curtis Population by Year. You can refer the same here

ProPublica's Represent app tracks the activities of U.S. Senators and Representatives in the 118th Congress. This site provides information on lawmakers, the bills they consider and the votes they take (and miss). You can browse the latest votes and bills, see how often lawmakers vote against their parties and compare voting records. Looking for data? There's an API.

Uranium and lead isotope ratios from (1) scheelite from ore deposits near Mallnock, Austria, (2) wolframite from the Wolfram Camp mine, Australia, and (3) scheelite from the Andrew Curtis mine near Los Angeles, California are provided in spreadsheet format. Data from four analysis sessions are included and separated according to both analysis data and mineral analyzed meaning 4 spreadsheets. For the scheelite samples, 4 representative images are provided: a thin section scan, plane polar photomicrograph of analysis area, shortwave ultraviolet light photomicrograph of analysis area, and a screen capture of a representative collection of analysis spots. For the wolframite sample, all the same images were provided except the shortwave ultraviolet light image. Data were collected at the Radiogenic Isotope and Geochronology Laboratory at Washington State University in Pullman, Washington.

This resource contains temperature data from Curtis Creek (includes data from two sites: Upper, Lower). These sites have been monitored for 4 years (2015-06-18 to 2019-10-01). The Salmo Watershed Streamkeepers Society has been monitoring water temperature in the Salmo River Watershed to better understand the health of the river system as a whole and to monitor impacts of climate change on stream health and possible impacts to fish populations.

Reparto de votos de los diferentes partidos políticos que concurren a las elecciones municipales del 28M.

Número de empresas a nivel anual - Empresas para actividades profesionales y técnicas como grupos cnae y Cuntis como municipio

Data of Curtis Lake, which is located in Minnesota. Data on the size and depth of the waterbody / on the area of the basin and the length of the river

Número de empresas a nivel anual - Empresas para servicios como grupos cnae y Cuntis como municipio

This zip folder contains ASCII text files of vectors at the specified volcano at 12-hour intervals, from January 1, 1990 through December 28, 2009. The wind vectors are divided into five files, names by their elevation range above sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; and 24-30km.txt. The zip folder also contains a subfolder "figures", with Wind rose plots of wind direction and speed over this time period. The plots are by season, and by elevation, given a total of 20 plots (4 seasons, 5 elevation ranges). A summary plot is also included which gives the year-round wind pattern at the volcano, at 0-5 km elevation. Plots are in both jpg and pdf format.

These data were generated for a project seeking to test the effect of spatial resolution (pixel size) of remote sensing reflectance data on the capacity for the R algorithm biodivMapR to accurately map beta biodiversity (in this case different natural communities) on natural landscapes within the southeastern U.S. Coastal Plain. The project used 1 m resolution hyperspectral data (402-2,500 nm) collected in September 2021 from airborne sensors at three National Ecological Observatory (NEON) sites aggregated to coarser resolutions for each test (1 m, 5 m, 15 m, 30 m, 40 m, 60 m, and 90 m pixels sizes). The NEON sites used were Disney Wilderness Preserve (DSNY), Jones Ecological Research Station (JERC), and Ordway-Swisher Biological Station (OSBS). Point locations within the remotely sensed scenes were established to represent known locations for specific natural community types. BiodivMapR produced Bray-Curtis dissimilarity matrices composed of pairwise comparisons of point locations within each NEON site. Dissimilarity represented that of spectral species (pixel categories based on reflectance spectra) within mapping windows containing a set number of pixels and centered on each point. MRPP analyses using the dissimilarity matrices were used to determine the degree that point locations were successfully clustered by community type at each spatial resolution (pixel size). Analyses were run using assignments of 50 spectral species versus 20 spectral species per scene. The data archived are the shapefiles with geographic point data and their corresponding community types used in analyses, as well as the Bray-Curtis dissimilarity matrices for each site, pixel resolution, mapping window size, and number of spectral species used in each analysis.

About this dataset

Context

The dataset tabulates the Curtis township 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 Curtis township 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 2022, the population of Curtis township was 1,125, a 1.44% increase year-by-year from 2021. Previously, in 2021, Curtis township population was 1,109, an increase of 1.19% compared to a population of 1,096 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Curtis township decreased by 252. In this period, the peak population was 1,377 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-curtis-township-mi-population-by-year-2000-2022.jpeg" alt="Curtis township population by year">

Content

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

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Curtis township is shown in this column.
• Year on Year Change: This column displays the change in Curtis township 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 Curtis township Population by Year. You can refer the same here

Explore Bill Curtis through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Cuntis como municipio de residencia. Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Madrid como municipio de residencia. Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Valencia como municipio de residencia. Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Sevilla como municipio de residencia. Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Barcelona como municipio de residencia. Cifras de población a nivel anual - Porcentaje de variación de Número de personas con respecto al año anterior para total como sexo y Zaragoza como municipio de residencia

A specific control refers to a site or area which has provisions that are different from other spatial layers or district-wide provisions that apply to that site or area in the Proposed District Plan.This layer contains spatial definitions for the Curtis Street Building Setback Controls.

This is the rData object used for statstical analysis in Curtis, Brereton, Dennis, Carbone & Isaac (2015) "Butterfly abundance is determined by food availability and is mediated by species traits". This file is the final data frame used for statistical analysis. It contains 1495 rows of data. Column names match closely with those used in the manuscript. The "set" column identifies the 1111 rows included in the final analysis.
The "hostplant.0", "nectar.all" and "nectar.wohp" columns are derived from vegetation data which can be accessed directly from the NERC Environmental Information Data Centre (see link).

A list of the top 50 Curtis Advisory Group LLC holdings showing which stocks are owned by Curtis Advisory Group LLC's hedge fund.

Find out import shipments and details about L G Sourcing Inc 1605 Curtis B Import Data report along with address, suppliers, products and import shipments.

1. Microbiome sequencing data often need to be normalized due to differences in read depths, and recommendations for microbiome analyses generally warn against using proportions or rarefying to normalize data and instead advocate alternatives, such as upper quartile, CSS, edgeR-TMM, or DESeq-VS. Those recommendations are, however, based on studies that focused on differential abundance testing and variance standardization, rather than community-level comparisons (i.e., beta diversity), Also, standardizing the within-sample variance across samples may suppress differences in species evenness, potentially distorting community-level patterns. Furthermore, the recommended methods use log transformations, which we expect to exaggerate the importance of differences among rare OTUs, while suppressing the importance of differences among common OTUs. 2. We tested these theoretical predictions via simulations and a real-world data set. 3. Proportions and rarefying produced more accurate comparisons among communities and were the only methods that fully normalized read depths across samples. Additionally, upper quartile, CSS, edgeR-TMM, and DESeq-VS often masked differences among communities when common OTUs differed, and they produced false positives when rare OTUs differed. 4. Based on our simulations, normalizing via proportions may be superior to other commonly used methods for comparing ecological communities.

Explore Nicky Curtis through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

Explore Vanessa Curtis through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets