Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crenshaw County, AL
Series ID MHICILBAL01041A052NCEN
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 12:51 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 13455
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17482
1994-01-01 .
1995-01-01 18838
1996-01-01 .
1997-01-01 20359
1998-01-01 22226
1999-01-01 24275
2000-01-01 25319
2001-01-01 25131
2002-01-01 25555
2003-01-01 26580
2004-01-01 27119
2005-01-01 26741
2006-01-01 27986
2007-01-01 29865
2008-01-01 31391
2009-01-01 28710
2010-01-01 32806
2011-01-01 31261
2012-01-01 30639
2013-01-01 30817
2014-01-01 30934
2015-01-01 33202
2016-01-01 33704
2017-01-01 34662
2018-01-01 34833
2019-01-01 39763
2020-01-01 40682
2021-01-01 34707
2022-01-01 44111

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