Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Monroe County, AR
Series ID MHICIUBAR05095A052NCEN
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 2:32 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 17205
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19435
1994-01-01 .
1995-01-01 21913
1996-01-01 .
1997-01-01 23974
1998-01-01 25039
1999-01-01 24310
2000-01-01 25591
2001-01-01 24617
2002-01-01 24044
2003-01-01 25682
2004-01-01 26342
2005-01-01 29365
2006-01-01 27767
2007-01-01 29832
2008-01-01 29808
2009-01-01 28432
2010-01-01 31354
2011-01-01 30497
2012-01-01 31542
2013-01-01 32878
2014-01-01 33797
2015-01-01 33642
2016-01-01 36103
2017-01-01 35815
2018-01-01 36530
2019-01-01 38368
2020-01-01 40929
2021-01-01 41632
2022-01-01 36470
2023-01-01 45348

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