Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, GA
Series ID MHICILBGA13141A052NCEN
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 2:33 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 13094
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16679
1994-01-01 .
1995-01-01 19027
1996-01-01 .
1997-01-01 20018
1998-01-01 20365
1999-01-01 20767
2000-01-01 21200
2001-01-01 20603
2002-01-01 20877
2003-01-01 22035
2004-01-01 22736
2005-01-01 23408
2006-01-01 23196
2007-01-01 25129
2008-01-01 25188
2009-01-01 22573
2010-01-01 22254
2011-01-01 23535
2012-01-01 22925
2013-01-01 24166
2014-01-01 23465
2015-01-01 25417
2016-01-01 28964
2017-01-01 27932
2018-01-01 28457
2019-01-01 27882
2020-01-01 30991
2021-01-01 31377
2022-01-01 33721
2023-01-01 34917

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