Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crenshaw County, AL
Series ID MHICIUBAL01041A052NCEN
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 1:10 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 18064
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22072
1994-01-01 .
1995-01-01 24997
1996-01-01 .
1997-01-01 26569
1998-01-01 28463
1999-01-01 27701
2000-01-01 29534
2001-01-01 28932
2002-01-01 29432
2003-01-01 30254
2004-01-01 30817
2005-01-01 32079
2006-01-01 33165
2007-01-01 36448
2008-01-01 37414
2009-01-01 34989
2010-01-01 38348
2011-01-01 37807
2012-01-01 36657
2013-01-01 37393
2014-01-01 37956
2015-01-01 40316
2016-01-01 41044
2017-01-01 42176
2018-01-01 43281
2019-01-01 46855
2020-01-01 51172
2021-01-01 41367
2022-01-01 54211

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