The median earnings of Hale County, AL was $25,325 in 2016. The median earnings of Arkansas County, AR was $25,692 in 2016. The median earnings of Cross County, AR was $27,295 in 2016. The median earnings of Chickasaw County, MS was $23,406 in 2016.
Earnings and Gender
Earnings and Education
Jobs and Earnings Datasets Involving Cross County, AR or Arkansas County, AR or Chickasaw County, MS or Hale County, AL
- API opendata.ramseycounty.us | Last Updated 2019-01-23T09:34:37.000Z
The county’s estimated revenue sources for the 2017 budget, including property tax levy, intergovernmental revenue, charges for services and other sources. Ramsey County uses a two-year (biennial) operating budget. An operating budget is created for the first year of the budget cycle and is monitored to continually improve the county’s financial management and strategic planning efforts. Additional resolutions and amendments may increase or decrease certain funding sources, so a supplemental budget for the second year is submitted to the Ramsey County Board of Commissioners for approval. In the current biennial cycle, the operating budget for 2016 is $645 million and the 2017 supplemental budget is $664 million. You can view the county’s financial reports and additional resources at ramseycounty.us/budget.
- API mydata.iadb.org | Last Updated 2017-09-01T04:08:12.000Z
Taxation in Latin America is largely viewed as a means of generating income to keep the government in business. In recent years, progress has been made towards increasing total revenue, but most countries in the region still lag well behind other countries with similar levels of development. More importantly, Latin America policymakers still largely ignore the potential of taxation to contribute to other important development goals. Governments have repeatedly missed the chance to influence consumption and production patterns by using taxes to effect relative price changes. More than Revenue aims to provide an up-to-date overview of the current state of taxation in the Latin American and Caribbean (LAC) region, its main reform needs, and possible reform strategies that take into account the likely economic, institutional, and political constraints on the reform process. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/edmz-xf2j </b></br></br>
- API data.transportation.gov | Last Updated 2018-11-06T15:06:38.000Z
Data set containing broad modal and financial data for all agencies reporting to the NTD for report years 2014 through 2017.
- API data.ny.gov | Last Updated 2019-01-23T11:34:07.000Z
Information on oil, gas, storage, solution salt, stratigraphic, and geothermal wells in New York State
- API performance.princegeorgescountymd.gov | Last Updated 2018-08-21T18:00:48.000Z
Improve BLS response time nuder 300 seconds in 90 percent of cases.
- API mydata.iadb.org | Last Updated 2017-06-30T18:34:59.000Z
This broad and novel database of 52 countries over 2001–11, allowed a study that assesses the link between financial intermediation and saving. The study finds that the Latin American and Caribbean (LAC) region lags well behind other regions in terms of financial depth, as measured by gross private domestic financial assets. LAC countries also have a larger share of bank deposits and cash in the private sector portfolio, compared to non-bank assets (bonds and shares). Moreover, within the institutional investor industry, pension funds are relatively developed in the region, although they grew out of the compulsory pension systems in several countries that date back to the 1980s and 1990s. The findings also indicate that LAC countries have about 40 percent of gross private financial wealth invested abroad, but just 4 percent of gross private liabilities have that origin, which attests to region’s obstacles in tapping international markets. The countries in general present a small share of household and business saving being intermediated through the financial system. In the specific case of bank deposits, just 5 percent of household saving and 3 percent of business saving are kept in the banking system.<br><br><b>Click here to access the data: https://mydata.iadb.org/idb/dataset/vsdz-m8v5</b></br></br>
- API performance.princegeorgescountymd.gov | Last Updated 2018-05-29T19:09:23.000Z
Social Services Performance Metrics Objective 1.1- Child Abuse Deaths, FY 2019 Proposed Budget.
- API performance.princegeorgescountymd.gov | Last Updated 2018-08-21T15:11:30.000Z
Fire/EMS Performance Metrics Objective 1.1 - ALS response times under 540 seconds, FY 2019 Proposed Budget.
- API mydata.iadb.org | Last Updated 2018-01-09T09:44:41.000Z
This dataset consists of statistics measuring the financial resources available to fund the education system. Main indicators: Government expenditure on education as % of GDP, in PPP, as % of total government expenditure, expenditure on salaries as % of education expenditure, expenditure on education per student as % of pc gdp. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/y35v-i2ux/</b></br></br>
- API mydata.iadb.org | Last Updated 2017-10-02T20:56:16.000Z
The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.<br><br><b>Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz</b></br></br>