Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wilkes County, NC
Series ID MHICIUBNC37193A052NCEN
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 2:31 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 25869
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28479
1994-01-01 .
1995-01-01 31717
1996-01-01 .
1997-01-01 33606
1998-01-01 35647
1999-01-01 35572
2000-01-01 37508
2001-01-01 36337
2002-01-01 35728
2003-01-01 36334
2004-01-01 37662
2005-01-01 38482
2006-01-01 39680
2007-01-01 41194
2008-01-01 37351
2009-01-01 39683
2010-01-01 37417
2011-01-01 37920
2012-01-01 37938
2013-01-01 39044
2014-01-01 35846
2015-01-01 43410
2016-01-01 45068
2017-01-01 46391
2018-01-01 47596
2019-01-01 49368
2020-01-01 52354
2021-01-01 52693
2022-01-01 52117
2023-01-01 55448

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