Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Baldwin County, GA
Series ID MHICIUBGA13009A052NCEN
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 1:53 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 27757
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30464
1994-01-01 .
1995-01-01 33188
1996-01-01 .
1997-01-01 34237
1998-01-01 34806
1999-01-01 34653
2000-01-01 36624
2001-01-01 35076
2002-01-01 35086
2003-01-01 35128
2004-01-01 35743
2005-01-01 38911
2006-01-01 39652
2007-01-01 42640
2008-01-01 41722
2009-01-01 39101
2010-01-01 39375
2011-01-01 37303
2012-01-01 38703
2013-01-01 39053
2014-01-01 40880
2015-01-01 41681
2016-01-01 44417
2017-01-01 44510
2018-01-01 46461
2019-01-01 49547
2020-01-01 53972
2021-01-01 49385
2022-01-01 54923

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