Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, AR
Series ID MHICIUBAR05015A052NCEN
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 3:12 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 20347
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25529
1994-01-01 .
1995-01-01 29457
1996-01-01 .
1997-01-01 29521
1998-01-01 30699
1999-01-01 29164
2000-01-01 30808
2001-01-01 30141
2002-01-01 29369
2003-01-01 29638
2004-01-01 31371
2005-01-01 33339
2006-01-01 33006
2007-01-01 34373
2008-01-01 36784
2009-01-01 37651
2010-01-01 36580
2011-01-01 36037
2012-01-01 36760
2013-01-01 37192
2014-01-01 39285
2015-01-01 41022
2016-01-01 40636
2017-01-01 42219
2018-01-01 48321
2019-01-01 48740
2020-01-01 52294
2021-01-01 53609
2022-01-01 55802
2023-01-01 59408

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