Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hart County, GA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hart County, GA
Series ID MHICIUBGA13147A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:53 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 24681
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29181
1994-01-01 .
1995-01-01 31810
1996-01-01 .
1997-01-01 33864
1998-01-01 35422
1999-01-01 34412
2000-01-01 36474
2001-01-01 34737
2002-01-01 34477
2003-01-01 34896
2004-01-01 36008
2005-01-01 38648
2006-01-01 40035
2007-01-01 40175
2008-01-01 42393
2009-01-01 38401
2010-01-01 36700
2011-01-01 39687
2012-01-01 40015
2013-01-01 43852
2014-01-01 42436
2015-01-01 43134
2016-01-01 43907
2017-01-01 49368
2018-01-01 51700
2019-01-01 56181
2020-01-01 59931
2021-01-01 63934
2022-01-01 59199

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