Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hart County, GA
Series ID MHICILBGA13147A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:14 AM 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 20162
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24642
1994-01-01 .
1995-01-01 25670
1996-01-01 .
1997-01-01 27707
1998-01-01 29368
1999-01-01 30253
2000-01-01 31386
2001-01-01 30306
2002-01-01 30049
2003-01-01 30766
2004-01-01 31730
2005-01-01 32265
2006-01-01 33634
2007-01-01 33159
2008-01-01 36794
2009-01-01 32284
2010-01-01 30806
2011-01-01 32967
2012-01-01 32951
2013-01-01 36598
2014-01-01 34692
2015-01-01 36000
2016-01-01 38587
2017-01-01 39838
2018-01-01 42642
2019-01-01 45113
2020-01-01 44871
2021-01-01 54364
2022-01-01 53075
2023-01-01 47818

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