Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monroe County, AR
Series ID MHICILBAR05095A052NCEN
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 3:13 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 12476
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14581
1994-01-01 .
1995-01-01 15701
1996-01-01 .
1997-01-01 17412
1998-01-01 18582
1999-01-01 21276
2000-01-01 21972
2001-01-01 21359
2002-01-01 20785
2003-01-01 22558
2004-01-01 23131
2005-01-01 25303
2006-01-01 23417
2007-01-01 24450
2008-01-01 24281
2009-01-01 23675
2010-01-01 25920
2011-01-01 25019
2012-01-01 26522
2013-01-01 26862
2014-01-01 27567
2015-01-01 27960
2016-01-01 29709
2017-01-01 29039
2018-01-01 29314
2019-01-01 30210
2020-01-01 30737
2021-01-01 32594
2022-01-01 29710
2023-01-01 35914

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