Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, GA
Series ID MHICIUBGA13141A052NCEN
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 2:32 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 17648
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21335
1994-01-01 .
1995-01-01 25262
1996-01-01 .
1997-01-01 26425
1998-01-01 26676
1999-01-01 23853
2000-01-01 24791
2001-01-01 23823
2002-01-01 24175
2003-01-01 25194
2004-01-01 25965
2005-01-01 28197
2006-01-01 27845
2007-01-01 29722
2008-01-01 30891
2009-01-01 27630
2010-01-01 25520
2011-01-01 28679
2012-01-01 27907
2013-01-01 28396
2014-01-01 29153
2015-01-01 31239
2016-01-01 32268
2017-01-01 34562
2018-01-01 34975
2019-01-01 35548
2020-01-01 41857
2021-01-01 40283
2022-01-01 43419
2023-01-01 45281

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