Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Haywood County, NC
Series ID MHICILBNC37087A052NCEN
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 2:32 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 20818
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24143
1994-01-01 .
1995-01-01 25376
1996-01-01 .
1997-01-01 27924
1998-01-01 29151
1999-01-01 30892
2000-01-01 32120
2001-01-01 31411
2002-01-01 31578
2003-01-01 32640
2004-01-01 34000
2005-01-01 34005
2006-01-01 34385
2007-01-01 36689
2008-01-01 36643
2009-01-01 37252
2010-01-01 36483
2011-01-01 37478
2012-01-01 36713
2013-01-01 36008
2014-01-01 39260
2015-01-01 39745
2016-01-01 41657
2017-01-01 44015
2018-01-01 43120
2019-01-01 46292
2020-01-01 46715
2021-01-01 46526
2022-01-01 56451
2023-01-01 58881

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