Abstract copyright UK Data Service and data collection copyright owner.The European State Finance Database (ESFD) is an international collaborative research project for the collection of data in European fiscal history. There are no strict geographical or chronological boundaries to the collection, although data for this collection comprise the period between c.1200 to c.1815. The purpose of the ESFD was to establish a significant database of European financial and fiscal records. The data are drawn from the main extant sources of a number of European countries, as the evidence and the state of scholarship permit. The aim was to collect the data made available by scholars, whether drawing upon their published or unpublished archival research, or from other published material. The ESFD project at the University of Leicester serves also to assist scholars working with the data by providing statistical manipulations of data and high quality graphical outputs for publication. The broad aim of the project was to act as a facilitator for a general methodological and statistical advance in the area of European fiscal history, with data capture and the interpretation of data in key publications as the measurable indicators of that advance. The data were originally deposited at the UK Data Archive in SAS transport format and as ASCII files; however, data files in this new edition have been saved as tab delimited files. Furthermore, this new edition features documentation in the form of a single file containing essential data file metadata, source details and notes of interest for particular files. Main Topics: The files in this dataset relate to those held in the Database at Leicester in the directory /obrien/.. These data on English revenues, 1485-1815, have been prepared by Professor P.K. O'Brien, Director of the Institute for Historical Research and by Dr P.A. Hunt. Discussion of the English fiscal data in this period can most conveniently be found in Professor O'Brien's chapter in Bonney, The rise of the fiscal state in Europe, forthcoming, 1994. File Information g118ed01. English state taxes and other revenues, 1485-1509 g118ed02. English state taxes and other revenues, 1510-47 g118ed03. English state taxes and other revenues, 1548-58 g118ed04. English state taxes and other revenues, 1559-1603 g118ed05. English state taxes and other revenues, 1604-48 g118ed06. English state taxes and other revenues, 1649-59 g118ed07. English state taxes and other revenues, 1660-88 g118ed08. English state taxes and other revenues, 1689-1727 g118ed09. English state taxes and other revenues, 1728-60 g118ed10. English state taxes and other revenues, 1761-1815 g118ed11. Categories of expenditure by the British government, 1685-1815 (5-year centred averages) g118em01. Revenue to English crown from direct and indirect taxation, 1485-1815 g118em08. Total revenue to English crown, 1485-1815 g118em10. English state taxes and other revenues, 1798-1816 Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. No sampling (total universe)

We present new calculations for transition probabilities of FeIV, with much more extensive datasets than heretofore available, for a variety of astrophysical applications. The large-scale close coupling R-matrix calculations yield 1798 LS bound states with n<=11 and l<=9, and corresponding 138121 dipole allowed transitions in the form of oscillator strengths f, line strengths S, and A-coefficients. This represents the largest R-matrix dataset in LS coupling for any ion under either the Opacity Project or the Iron Project. Through algebraic transformation of the LS multiplets, a total of 712120 dipole allowed fine structure transitions for FeIV are obtained. Observed transition energies, whenever available, are used together with the energy independent line strengths to derive the f- and the A-values for improved accuracy; the adopted algorithm used calculated energies for the remainder. Present results show significantly better accuracy for the important low-lying states than previous calculations. Monochromatic and mean opacities for FeIV are computed and compared with those obtained using the Opacity Project data. We find differences which could have important consequences for several astrophysical applications involving low ionization stages of iron.

Abstract copyright UK Data Service and data collection copyright owner.The European State Finance Database (ESFD) is an international collaborative research project for the collection of data in European fiscal history. There are no strict geographical or chronological boundaries to the collection, although data for this collection comprise the period between c.1200 to c.1815. The purpose of the ESFD was to establish a significant database of European financial and fiscal records. The data are drawn from the main extant sources of a number of European countries, as the evidence and the state of scholarship permit. The aim was to collect the data made available by scholars, whether drawing upon their published or unpublished archival research, or from other published material. The ESFD project at the University of Leicester serves also to assist scholars working with the data by providing statistical manipulations of data and high quality graphical outputs for publication. The broad aim of the project was to act as a facilitator for a general methodological and statistical advance in the area of European fiscal history, with data capture and the interpretation of data in key publications as the measurable indicators of that advance. The data were originally deposited at the UK Data Archive in SAS transport format and as ASCII files; however, data files in this new edition have been saved as tab delimited files. Furthermore, this new edition features documentation in the form of a single file containing essential data file metadata, source details and notes of interest for particular files. Main Topics: The files in this dataset relate to the datafiles in the Leicester database held in the directory /korner/.. File Information g124sid1. Ordinary revenues of the Swiss towns, 1501-1611 g124sid2. Growth of public debts and loans of nine Swiss towns, 1501-1611 g124sid3. Growth of interests on loans and life rents at Bale, 1501-1611 g124sid4. Revenue to the state of Luzern from wine, 1421-1798 g124sid5.* Revenue and expenditure of the city and state of Lucerne, 1430-1795 Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

About this dataset

Context

The dataset tabulates the Newfield 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 Newfield 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 Newfield was 1,798, a 0.33% increase year-by-year from 2022. Previously, in 2022, Newfield population was 1,792, an increase of 0.56% compared to a population of 1,782 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Newfield increased by 184. In this period, the peak population was 1,798 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 Newfield is shown in this column.
• Year on Year Change: This column displays the change in Newfield 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 Newfield Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Callahan 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 Callahan 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 Callahan was 1,798, a 7.66% increase year-by-year from 2022. Previously, in 2022, Callahan population was 1,670, an increase of 8.09% compared to a population of 1,545 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Callahan increased by 688. In this period, the peak population was 1,798 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 Callahan is shown in this column.
• Year on Year Change: This column displays the change in Callahan 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 Callahan Population by Year. You can refer the same here