Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clay County, NC
Series ID MHICIUBNC37043A052NCEN
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 20723
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24503
1994-01-01 .
1995-01-01 28716
1996-01-01 .
1997-01-01 29894
1998-01-01 31656
1999-01-01 32578
2000-01-01 34349
2001-01-01 32899
2002-01-01 33181
2003-01-01 33565
2004-01-01 34919
2005-01-01 37274
2006-01-01 39283
2007-01-01 41182
2008-01-01 41091
2009-01-01 41912
2010-01-01 38302
2011-01-01 38498
2012-01-01 40329
2013-01-01 40710
2014-01-01 40789
2015-01-01 42697
2016-01-01 41027
2017-01-01 47205
2018-01-01 47494
2019-01-01 52558
2020-01-01 51063
2021-01-01 57893
2022-01-01 64479
2023-01-01 58295

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