Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, AR
Series ID MHICIUBAR05079A052NCEN
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 20245
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24249
1994-01-01 .
1995-01-01 26759
1996-01-01 .
1997-01-01 29202
1998-01-01 30835
1999-01-01 30260
2000-01-01 31608
2001-01-01 30053
2002-01-01 29074
2003-01-01 30442
2004-01-01 32158
2005-01-01 35047
2006-01-01 36466
2007-01-01 33702
2008-01-01 38280
2009-01-01 37441
2010-01-01 38261
2011-01-01 39491
2012-01-01 39644
2013-01-01 39200
2014-01-01 41714
2015-01-01 44217
2016-01-01 38476
2017-01-01 47192
2018-01-01 48801
2019-01-01 48795
2020-01-01 52500
2021-01-01 51063
2022-01-01 54333

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