Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Houston County, GA
Series ID MHICILBGA13153A052NCEN
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 30082
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34157
1994-01-01 .
1995-01-01 34919
1996-01-01 .
1997-01-01 38115
1998-01-01 40148
1999-01-01 39996
2000-01-01 41594
2001-01-01 41487
2002-01-01 42272
2003-01-01 43519
2004-01-01 44296
2005-01-01 46174
2006-01-01 46627
2007-01-01 49304
2008-01-01 55207
2009-01-01 47518
2010-01-01 50852
2011-01-01 48507
2012-01-01 50647
2013-01-01 48356
2014-01-01 48952
2015-01-01 51725
2016-01-01 59283
2017-01-01 54822
2018-01-01 55085
2019-01-01 59984
2020-01-01 64354
2021-01-01 66932
2022-01-01 67494
2023-01-01 69161

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