Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Conecuh County, AL
Series ID MHICIUBAL01035A052NCEN
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 18589
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21433
1994-01-01 .
1995-01-01 24701
1996-01-01 .
1997-01-01 25860
1998-01-01 27320
1999-01-01 24685
2000-01-01 25576
2001-01-01 24887
2002-01-01 25105
2003-01-01 25348
2004-01-01 26006
2005-01-01 26811
2006-01-01 28301
2007-01-01 30309
2008-01-01 29816
2009-01-01 29659
2010-01-01 30517
2011-01-01 29699
2012-01-01 29567
2013-01-01 29712
2014-01-01 32172
2015-01-01 32855
2016-01-01 32827
2017-01-01 34058
2018-01-01 35582
2019-01-01 44285
2020-01-01 39571
2021-01-01 39832
2022-01-01 40618

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