Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Houston County, AL
Series ID MHICIUBAL01069A052NCEN
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 1:53 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 27062
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30307
1994-01-01 .
1995-01-01 33736
1996-01-01 .
1997-01-01 35171
1998-01-01 36280
1999-01-01 35744
2000-01-01 38029
2001-01-01 36945
2002-01-01 37072
2003-01-01 38192
2004-01-01 38993
2005-01-01 40213
2006-01-01 39401
2007-01-01 42614
2008-01-01 44239
2009-01-01 40525
2010-01-01 41410
2011-01-01 42364
2012-01-01 42732
2013-01-01 41690
2014-01-01 42217
2015-01-01 45630
2016-01-01 45359
2017-01-01 46587
2018-01-01 50703
2019-01-01 52814
2020-01-01 58708
2021-01-01 52164
2022-01-01 59650

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