Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marengo County, AL
Series ID MHICIUBAL01091A052NCEN
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 20347
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23835
1994-01-01 .
1995-01-01 26542
1996-01-01 .
1997-01-01 28438
1998-01-01 29783
1999-01-01 28691
2000-01-01 30126
2001-01-01 29563
2002-01-01 29998
2003-01-01 30639
2004-01-01 31017
2005-01-01 32407
2006-01-01 33306
2007-01-01 35892
2008-01-01 35396
2009-01-01 34396
2010-01-01 36140
2011-01-01 35195
2012-01-01 34240
2013-01-01 36911
2014-01-01 36378
2015-01-01 38894
2016-01-01 38480
2017-01-01 41571
2018-01-01 41900
2019-01-01 43313
2020-01-01 48611
2021-01-01 47260
2022-01-01 50244

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