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India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines data was reported at 222.000 INR in 2014. This records an increase from the previous number of 207.000 INR for 2013. India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines data is updated yearly, averaging 171.000 INR from Dec 2008 to 2014, with 7 observations. The data reached an all-time high of 222.000 INR in 2014 and a record low of 78.000 INR in 2008. India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBC002: Minimum Daily Wage Rate: Chief Labour Commissioner (Central).
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Indonesia Export: Volume: HS: 62101019: Other protective work garment (exc used for protection fromchemical substance,radiation/fire),of fabric head 5602/5603 data was reported at 0.004 kg mn in Jun 2019. This records an increase from the previous number of 0.000 kg mn for May 2019. Indonesia Export: Volume: HS: 62101019: Other protective work garment (exc used for protection fromchemical substance,radiation/fire),of fabric head 5602/5603 data is updated monthly, averaging 0.000 kg mn from Feb 2017 (Median) to Jun 2019, with 19 observations. The data reached an all-time high of 0.015 kg mn in Jul 2018 and a record low of 0.000 kg mn in Dec 2018. Indonesia Export: Volume: HS: 62101019: Other protective work garment (exc used for protection fromchemical substance,radiation/fire),of fabric head 5602/5603 data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAC011: Foreign Trade: Indonesia Custom Fare 2012: by HS: 8 Digits: Textiles & Textile Articles.
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Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines在2014达222.000 INR,相较于2013的207.000 INR有所增长。Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines数据按每年更新,2008至2014期间平均值为171.000 INR,共7份观测结果。该数据的历史最高值出现于2014,达222.000 INR,而历史最低值则出现于2008,为78.000 INR。CEIC提供的Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines数据处于定期更新的状态,数据来源于Labour Bureau Government of India,数据归类于India Premium Database的Labour Market – Table IN.GBC002: Minimum Daily Wage Rate: Chief Labour Commissioner (Central)。
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Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Angel Fire: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Angel Fire median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Angel Fire. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Angel Fire. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, in Angel Fire, the median household income stands at $105,833 for householders within the 45 to 64 years age group, followed by $67,813 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $30,972.
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 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Angel Fire median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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In numerous developing nations, the pervasive practice of crop residue incineration is a principal contributor to atmospheric contamination in agricultural operations. This study examines the repercussions of such biomass combustion on air quality during the autumnal harvest season, utilizing data acquired from satellite-based remote sensing of fire events and air pollution measurements. Employing wind direction information alongside difference-in-difference and fixed-effects methodologies, this investigation rectifies estimation inaccuracies stemming from the non-random distribution of combustion occurrences. The empirical findings reveal that agricultural residue burning precipitates an elevation in average PM2.5 and PM10 concentrations by approximately 27 and 22 μg/m3 during the autumnal incineration period, respectively. Furthermore, air pollution attributed to residue burning in prominent grain-producing regions exceeds the national average by approximately 40%. By integrating economic paradigms into agri-environmental inquiries, this study offers novel insights and substantiation of the environmental expenditures engendered by crop residue burning, juxtaposed with extant meteorological and ecological research findings.
This longitudinal survey was designed to add significantly to the amount of detailed information available on the economic situation of households and persons in the United States. These data examine the level of economic well-being of the population and also provide information on how economic situations relate to the demographic and social characteristics of individuals. There are three basic elements contained in the survey. The first is a control card that records basic social and demographic characteristics for each person in a household, as well as changes in such characteristics over the course of the interviewing period. The second element is the core portion of the questionnaire, with questions repeated at each interview on labor force activity, types and amounts of income, participation in various cash and noncash benefit programs, attendance in postsecondary schools, private health insurance coverage, public or subsidized rental housing, low-income energy assistance, and school breakfast and lunch participation. The third element consists of topical modules which are series of supplemental questions asked during selected household visits. No topical modules were created for the first or second waves. The Wave III Rectangular Core and Topical Module File offers both the core data and additional data on (1) education and work history and (2) health and disability. In the areas of education and work history, data are supplied on the highest level of schooling attained, courses or programs studied in high school and after high school, whether the respondent received job training, and if so, for how long and under what program (e.g., CETA or WIN). Other items pertain to the respondent's general job history and include a description of selected previous jobs, duration of jobs, and reasons for periods spent not working. Health and disability variables present information on the general condition of the respondent's health, functional limitations, work disability, and the need for personal assistance. Data are also provided on hospital stays or periods of illness, health facilities used, and whether health insurance plans (private or Medicare) were available. Respondents whose children had physical, mental, or emotional problems were questioned about the causes of the problems and whether the children attended regular schools. The Wave IV Rectangular Core and Topical Module file contains both the core data and sets of questions exploring the subjects of (1) assets and liabilities, (2) retirement and pension coverage, and (3) housing costs, conditions, and energy usage. Some of the major assets for which data are provided are savings accounts, stocks, mutual funds, bonds, Keogh and IRA accounts, home equity, life insurance, rental property, and motor vehicles. Data on unsecured liabilities such as loans, credit cards, and medical bills also are included. Retirement and pension information covers such items as when respondents expect to stop working, whether they will receive retirement benefits, whether their employers have retirement plans, if so whether they are eligible, and how much they expect to receive per year from these plans. In the category of housing costs, conditions, and energy usage, variables pertain to mortgage payments, real estate taxes, fire insurance, principal owed, when the mortgage was obtained, interest rates, rent, type of fuel used, heating facilities, appliances, and vehicles. The Wave V topical modules explore the subject areas of (1) child care, (2) welfare history and child support, (3) reasons for not working/reservation wage, and (4) support for nonhousehold members/work-related expenses. Data on child care include items on child care arrangements such as who provides the care, the number of hours of care per week, where the care is provided, and the cost. Questions in the areas of welfare history and child support focus on receipt of aid from specific welfare programs and child support agreements and their fulfillment. The reasons for not working/reservation wage module presents data on why persons are not in the labor force and the conditions under which they might join the labor force. Additional variables cover job search activities, pay rate required, and reason for refusal of a job offer. The set of questions dealing with nonhousehold members/work-related expenses contains items on regular support payments for nonhousehold members and expenses associated with a job such as union dues, licenses, permits, special tools, uniforms, or travel expenses. Information is supplied in the Wave VII Topical Module file on (1) assets and liabilities, (2) pension plan coverage, and (3) real estate property and vehicles. Variables pertaining to assets and liabilities are similar to those contained in the topical module for Wave IV. Pension plan coverage items include whether the respondent will receive retirement benefits, whether the employer offers a retirement plan and if the respondent is included in the plan, and contributions by the employer and the employee to the plan. Real estate property and vehicles data include information on mortgages held, amount of principal still owed and current interest rate on mortgages, rental and vacation properties owned, and various items pertaining to vehicles belonging to the household. Wave VIII Topical Module includes questions on support for nonhousehold members, work-related expenses, marital history, migration history, fertility history, and household relationships. Support for nonhousehold members includes data for children and adults not in the household. Weekly and annual work-related expenses are documented. Widowhood, divorce, separation, and marriage dates are part of the marital history. Birth expectations as well as dates of birth for all the householder's children, in the household or elsewhere, are recorded in the fertility history. Migration history data supplies information on birth history of the householder's parents, number of times moved, and moving expenses. Household relationships lists the exact relationships among persons living in the household. Part 49, Wave IX Rectangular Core and Topical Module Research File, includes data on annual income, retirement accounts, taxes, school enrollment, and financing. This topical module research file has not been edited nor imputed, but has been topcoded or bottomcoded and recoded if necessary by the Census Bureau to avoid disclosure of individual respondents' identities. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08317.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Angel Fire. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Angel Fire population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 74.84% of the total residents in Angel Fire. Notably, the median household income for White households is $82,250. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $82,250.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Angel Fire median household income by race. You can refer the same here
Details of senior London Fire Brigade staff expenses claims and register of gifts and hospitality. Please note that postholders in the office shown in the data (e.g. Commissioner, Director) will change over time. It should not be assumed that historic data relates to current postholders; details of current postholders in the LFB top management structure are available here on the LFB website.
Senior staff are defined as those designated as a ‘head of service’ (assistant directors and assistant commissioners), plus Directors/Deputy Commissioners and the London Fire Commissioner.
Data is by financial year. Data is updated within a month of the quarter end. It is possible that items may be included in a subsequent financial year where the notification has been made close to the end of a previous financial year.
Sometimes an expense claim may relate to an event or travel where a sponsor has agreed to reimburse the LFB's costs. In such cases, there will be a corresponding entry in the register of gifts and hospitality.
Salary information for senior LFB staff is published annually here.
London Fire Commissioner (LFC) is the fire and rescue authority for London from 1 April 2018, and runs the London Fire Brigade.
NOTE: All data was republished on 18 May 2021 for the period up to 31 March 2021 (from 2014). There is a single file for data from 2014 to 31 March 2020, and a file for 2020/21 financial yaer (to end March). Data will be published quarterly after end June, September, December and March..
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇬🇧 United Kingdom English Details of senior London Fire Brigade staff expenses claims and register of gifts and hospitality. Please note that postholders in the office shown in the data (e.g. Commissioner, Director) will change over time. It should not be assumed that historic data relates to current postholders; details of current postholders in the LFB top management structure are available here on the LFB website. Senior staff are defined as those designated as a ‘head of service’ (assistant directors and assistant commissioners), plus Directors/Deputy Commissioners and the London Fire Commissioner. Data is by financial year. Data is updated within a month of the quarter end. It is possible that items may be included in a subsequent financial year where the notification has been made close to the end of a previous financial year. Sometimes an expense claim may relate to an event or travel where a sponsor has agreed to reimburse the LFB's costs. In such cases, there will be a corresponding entry in the register of gifts and hospitality.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Angel Fire. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Angel Fire median household income by race. You can refer the same here
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines data was reported at 222.000 INR in 2014. This records an increase from the previous number of 207.000 INR for 2013. India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines data is updated yearly, averaging 171.000 INR from Dec 2008 to 2014, with 7 observations. The data reached an all-time high of 222.000 INR in 2014 and a record low of 78.000 INR in 2008. India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Fire Clay Mines data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBC002: Minimum Daily Wage Rate: Chief Labour Commissioner (Central).