Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Conecuh County, AL
Series ID MHICILBAL01035A052NCEN
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 2:33 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 13966
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16759
1994-01-01 .
1995-01-01 18503
1996-01-01 .
1997-01-01 19409
1998-01-01 20863
1999-01-01 21558
2000-01-01 21931
2001-01-01 21584
2002-01-01 21747
2003-01-01 22208
2004-01-01 22769
2005-01-01 22364
2006-01-01 23684
2007-01-01 24800
2008-01-01 24321
2009-01-01 24104
2010-01-01 25193
2011-01-01 24129
2012-01-01 24653
2013-01-01 24680
2014-01-01 26030
2015-01-01 27107
2016-01-01 26689
2017-01-01 27534
2018-01-01 29644
2019-01-01 38793
2020-01-01 29757
2021-01-01 31410
2022-01-01 31594
2023-01-01 43315

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