Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Appling County, GA
Series ID MHICILBGA13001A052NCEN
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 1:12 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 17199
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22074
1994-01-01 .
1995-01-01 24199
1996-01-01 .
1997-01-01 25577
1998-01-01 26161
1999-01-01 27261
2000-01-01 28217
2001-01-01 27957
2002-01-01 27583
2003-01-01 28658
2004-01-01 29145
2005-01-01 29262
2006-01-01 31610
2007-01-01 30461
2008-01-01 31350
2009-01-01 29911
2010-01-01 33460
2011-01-01 31721
2012-01-01 32489
2013-01-01 33419
2014-01-01 33032
2015-01-01 35994
2016-01-01 34850
2017-01-01 36521
2018-01-01 38518
2019-01-01 38478
2020-01-01 37707
2021-01-01 41109
2022-01-01 45974

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