Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Shelby County, AL
Series ID MHICILBAL01117A052NCEN
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 1:12 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 34718
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42582
1994-01-01 .
1995-01-01 48433
1996-01-01 .
1997-01-01 49442
1998-01-01 52460
1999-01-01 53046
2000-01-01 55352
2001-01-01 56007
2002-01-01 57447
2003-01-01 57304
2004-01-01 58300
2005-01-01 58704
2006-01-01 63546
2007-01-01 64408
2008-01-01 68755
2009-01-01 62619
2010-01-01 63299
2011-01-01 63934
2012-01-01 63500
2013-01-01 65475
2014-01-01 65163
2015-01-01 68011
2016-01-01 71325
2017-01-01 70854
2018-01-01 69887
2019-01-01 72962
2020-01-01 81587
2021-01-01 80812
2022-01-01 92855

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