Paraguay Exports Price Index: Fisher data was reported at 185.515 Jan1994=100 in Sep 2018. This records an increase from the previous number of 182.224 Jan1994=100 for Aug 2018. Paraguay Exports Price Index: Fisher data is updated monthly, averaging 104.512 Jan1994=100 from Jan 1994 (Median) to Sep 2018, with 297 observations. The data reached an all-time high of 212.950 Jan1994=100 in May 2014 and a record low of 79.969 Jan1994=100 in Jul 1999. Paraguay Exports Price Index: Fisher data remains active status in CEIC and is reported by Central Bank of Paraguay. The data is categorized under Global Database’s Paraguay – Table PY.I015: Foreign Trade Price Index: Fisher.

This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).

Paraguay Terms of Trade Index: Fisher data was reported at 110.621 Jan1994=100 in Sep 2018. This records a decrease from the previous number of 118.137 Jan1994=100 for Aug 2018. Paraguay Terms of Trade Index: Fisher data is updated monthly, averaging 94.558 Jan1994=100 from Jan 1994 (Median) to Sep 2018, with 297 observations. The data reached an all-time high of 163.340 Jan1994=100 in Feb 1995 and a record low of 58.501 Jan1994=100 in Dec 1996. Paraguay Terms of Trade Index: Fisher data remains active status in CEIC and is reported by Central Bank of Paraguay. The data is categorized under Global Database’s Paraguay – Table PY.I015: Foreign Trade Price Index: Fisher.

Distribution of expenditures, percent purchasers and Fisher Price Index by food and beverage group and calendar year, 2015–2017.

Japan Imports Unit Value Index: FF: Fisher Formula (FF): Total data was reported at 101.170 2015=100 in Jul 2018. This records an increase from the previous number of 98.860 2015=100 for Jun 2018. Japan Imports Unit Value Index: FF: Fisher Formula (FF): Total data is updated monthly, averaging 87.550 2015=100 from Jan 2003 (Median) to Jul 2018, with 187 observations. The data reached an all-time high of 116.250 2015=100 in Aug 2008 and a record low of 61.000 2015=100 in Nov 2003. Japan Imports Unit Value Index: FF: Fisher Formula (FF): Total data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.JA062: Imports Unit Value Index: 2015=100.

Relationship between regional tuberculosis rates and Fisher Index.

Investment banking services price index (IBSPI) measures the change in price of investment banking services. Annual data are available from 2010. The table presents data for the most recent reference period and the last four periods. Data is available in a Fisher, Laspeyres or Paasche index. The base period for the index is 2017=100.

Investment banking services price index (IBSPI) measures the change in price of investment banking services. Annual data are available from 2010. The table presents data for the most recent reference period and the last four periods. Data is available in a Fisher, Laspeyres or Paasche index. The base period for the index is 2017=100.

1-month change in the Adjusted price index based on monthly adjusted consumer expenditure basket weights created by Statistics Canada, in partnership with the Bank of Canada. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data covers all goods and services in the Consumer Price Index.

1-month change in the Adjusted price index based on monthly adjusted consumer expenditure basket weights created by Statistics Canada, in partnership with the Bank of Canada. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data covers all goods and services in the Consumer Price Index.

This dataset is about: Fisher alpha index from benthic foraminifera in sediment core PS1906-1 (Table 12).

About this dataset

Context

The dataset illustrates the median household income in Fisher, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Fisher decreased by $35,545 (53.35%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 3 years and declined for 8 years.

https://i.neilsberg.com/ch/fisher-la-median-household-income-trend.jpeg" alt="Fisher, LA median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Fisher median household income. You can refer the same here

We provide evidence on the effect of elementary index choice on inflation measurement in the euro area. Using scanner data for 15,844 individual items from 42 product categories and 10 euro area countries, we compute product category level elementary price indexes using eight different elementary index formulas. Measured inflation outcomes of the different index formulas are compared with the Fisher ideal index to quantify elementary index bias. We have three main findings. First, elementary index bias is quite variable across product categories, countries and index formulas. Second, a comparison of elementary index formulas with and without expenditure weights shows that a shift from price only indexes to expenditure weighted indexes would entail at the product level multiple percentage points differences in measured price changes. And finally, we show that elementary index bias is quantitatively more important than upper level substitution bias.

Volume index = value index / unit-value index Value index: The value index is calculated as the percentage change between the trade value of the current month and the average monthly trade value of the previous year. Unit-value index: Monthly raw data are processed at the most detailed level in order to calculate elementary unit-values defined by trade value/quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using the Laspeyres, Paasche and Fisher formulae. Finally, the Fisher unit-value indices are chained back to the reference year (2015 = 100).

Investment banking services price index (IBSPI) measures the change in price of investment banking services. Annual data are available from 2010. The table presents data for the most recent reference period and the last four periods. Data is available in a Fisher, Laspeyres or Paasche index. The base period for the index is 2017=100.

About this dataset

Context

The dataset illustrates the median household income in Fisher, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Fisher decreased by $3,486 (4.15%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.

https://i.neilsberg.com/ch/fisher-il-median-household-income-trend.jpeg" alt="Fisher, IL median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Fisher median household income. You can refer the same here

The values did not differ between the models for the trophic levels (p = 0.92) and omnivory index (p = 0.15).

Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Jonathan Fisher.

About this dataset

Context

The dataset illustrates the median household income in Fisher township, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Fisher township increased by $34,936 (30.92%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Fisher township median household income. You can refer the same here

From 2013-16 we deployed 3 motion-sensing cameras paired with hair (DNA)-snaring devices within each of 263 24-square kilometer primary sampling units distributed systematically across the Olympic Peninsula in northwestern Washington. The data set contains detection histories of fishers during each of 3 14-day sampling intervals at each hexagon. The data set also includes detectability and environmental covariates measured at the detection stations and within a 1,262-m buffer inscribed around the detection stations in each hexagon. Reported covariates include the sampling year, Julian date of sampling visit, proportion of 14-day sampling intervals that bait was functional, landscape composition within buffer regions, average 30-year precipitation, mean elevation, and distance to federal wilderness boundaries. Landscape composition variables measured within the buffer zones included: proportion of buffers within each of three land management categories (federal wilderness, federal non-wilderness, and other [State, private, and Tribal]), 3 stand structural condition classes (tree layer dominated by small, medium, and large trees, respectively), and canopy closure classes (tree layer dominated by open, medium, and dense overstory crown closure, respectively). Additionally we report the Simpson's diversity index of structural classes present within each buffer.