Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Randolph County, AL
Series ID MHICILBAL01111A052NCEN
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 3:13 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 16581
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20390
1994-01-01 .
1995-01-01 21111
1996-01-01 .
1997-01-01 22911
1998-01-01 24696
1999-01-01 26246
2000-01-01 27019
2001-01-01 26448
2002-01-01 26687
2003-01-01 27663
2004-01-01 29093
2005-01-01 30219
2006-01-01 30277
2007-01-01 31056
2008-01-01 30726
2009-01-01 30497
2010-01-01 30291
2011-01-01 31228
2012-01-01 32088
2013-01-01 32044
2014-01-01 33876
2015-01-01 33693
2016-01-01 36675
2017-01-01 37325
2018-01-01 36254
2019-01-01 38252
2020-01-01 40659
2021-01-01 40334
2022-01-01 43576
2023-01-01 52026

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