Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Miller County, GA
Series ID MHICILBGA13201A052NCEN
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 16224
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19899
1994-01-01 .
1995-01-01 22595
1996-01-01 .
1997-01-01 23176
1998-01-01 23945
1999-01-01 25176
2000-01-01 26110
2001-01-01 25049
2002-01-01 24887
2003-01-01 25409
2004-01-01 25836
2005-01-01 26339
2006-01-01 30898
2007-01-01 28735
2008-01-01 29194
2009-01-01 28838
2010-01-01 29012
2011-01-01 29895
2012-01-01 29080
2013-01-01 29715
2014-01-01 31613
2015-01-01 32101
2016-01-01 39731
2017-01-01 33768
2018-01-01 38689
2019-01-01 36873
2020-01-01 50654
2021-01-01 39350
2022-01-01 39277

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