Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Baldwin County, AL
Series ID MHICIUBAL01003A052NCEN
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 3:12 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 26276
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31266
1994-01-01 .
1995-01-01 38031
1996-01-01 .
1997-01-01 38435
1998-01-01 40098
1999-01-01 41862
2000-01-01 44365
2001-01-01 43154
2002-01-01 43620
2003-01-01 44600
2004-01-01 44886
2005-01-01 45407
2006-01-01 48065
2007-01-01 51826
2008-01-01 54720
2009-01-01 51078
2010-01-01 50067
2011-01-01 53734
2012-01-01 51281
2013-01-01 50989
2014-01-01 52736
2015-01-01 54909
2016-01-01 59670
2017-01-01 60775
2018-01-01 60739
2019-01-01 65149
2020-01-01 75730
2021-01-01 70593
2022-01-01 77228
2023-01-01 79450

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