Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Catawba County, NC
Series ID MHICILBNC37035A052NCEN
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 1:11 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 26319
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30994
1994-01-01 .
1995-01-01 33228
1996-01-01 .
1997-01-01 35481
1998-01-01 37536
1999-01-01 37658
2000-01-01 39522
2001-01-01 38528
2002-01-01 37921
2003-01-01 37775
2004-01-01 38751
2005-01-01 38241
2006-01-01 40692
2007-01-01 41229
2008-01-01 41725
2009-01-01 39512
2010-01-01 39696
2011-01-01 42239
2012-01-01 40032
2013-01-01 40813
2014-01-01 42599
2015-01-01 39590
2016-01-01 46322
2017-01-01 50864
2018-01-01 50278
2019-01-01 50052
2020-01-01 47870
2021-01-01 56557
2022-01-01 58749

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