Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Baldwin County, AL
Series ID MHICILBAL01003A052NCEN
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 3:14 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 21797
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26801
1994-01-01 .
1995-01-01 31981
1996-01-01 .
1997-01-01 32426
1998-01-01 34211
1999-01-01 36696
2000-01-01 38415
2001-01-01 37833
2002-01-01 38197
2003-01-01 39479
2004-01-01 39726
2005-01-01 40201
2006-01-01 42921
2007-01-01 46500
2008-01-01 49195
2009-01-01 46195
2010-01-01 45169
2011-01-01 46554
2012-01-01 46453
2013-01-01 44089
2014-01-01 46516
2015-01-01 49865
2016-01-01 53250
2017-01-01 52439
2018-01-01 54437
2019-01-01 54593
2020-01-01 66540
2021-01-01 60723
2022-01-01 66180
2023-01-01 69046

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