Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, GA
Series ID MHICIUBGA13097A052NCEN
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 37910
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42918
1994-01-01 .
1995-01-01 47882
1996-01-01 .
1997-01-01 49318
1998-01-01 50450
1999-01-01 50974
2000-01-01 54220
2001-01-01 53056
2002-01-01 52537
2003-01-01 52357
2004-01-01 53169
2005-01-01 56106
2006-01-01 58670
2007-01-01 58496
2008-01-01 62209
2009-01-01 53617
2010-01-01 56342
2011-01-01 54056
2012-01-01 55497
2013-01-01 55816
2014-01-01 58371
2015-01-01 61289
2016-01-01 64464
2017-01-01 64808
2018-01-01 65080
2019-01-01 68203
2020-01-01 71655
2021-01-01 71249
2022-01-01 83094
2023-01-01 84397

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