Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chattahoochee County, GA
Series ID MHICIUBGA13053A052NCEN
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 1:11 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 26791
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32015
1994-01-01 .
1995-01-01 34332
1996-01-01 .
1997-01-01 40716
1998-01-01 42637
1999-01-01 41926
2000-01-01 43171
2001-01-01 40696
2002-01-01 38752
2003-01-01 38415
2004-01-01 38252
2005-01-01 42544
2006-01-01 42050
2007-01-01 49715
2008-01-01 46276
2009-01-01 44811
2010-01-01 50497
2011-01-01 44447
2012-01-01 47049
2013-01-01 51120
2014-01-01 50795
2015-01-01 44242
2016-01-01 48731
2017-01-01 49201
2018-01-01 51929
2019-01-01 51726
2020-01-01 59829
2021-01-01 59656
2022-01-01 64259

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