Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bacon County, GA
Series ID MHICIUBGA13005A052NCEN
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 21425
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24007
1994-01-01 .
1995-01-01 28117
1996-01-01 .
1997-01-01 28677
1998-01-01 30325
1999-01-01 28853
2000-01-01 30244
2001-01-01 29424
2002-01-01 28995
2003-01-01 29743
2004-01-01 30153
2005-01-01 32117
2006-01-01 33730
2007-01-01 34584
2008-01-01 36809
2009-01-01 33171
2010-01-01 34678
2011-01-01 34469
2012-01-01 35476
2013-01-01 37010
2014-01-01 37441
2015-01-01 38277
2016-01-01 40696
2017-01-01 42297
2018-01-01 43002
2019-01-01 46348
2020-01-01 48227
2021-01-01 48300
2022-01-01 51777
2023-01-01 55083

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