Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cherokee County, NC
Series ID MHICIUBNC37039A052NCEN
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 1:10 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 20376
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24052
1994-01-01 .
1995-01-01 27247
1996-01-01 .
1997-01-01 28496
1998-01-01 30173
1999-01-01 29699
2000-01-01 31065
2001-01-01 29547
2002-01-01 29942
2003-01-01 30367
2004-01-01 32157
2005-01-01 33487
2006-01-01 36179
2007-01-01 38245
2008-01-01 36855
2009-01-01 36632
2010-01-01 35642
2011-01-01 36116
2012-01-01 33823
2013-01-01 37160
2014-01-01 37861
2015-01-01 40596
2016-01-01 40559
2017-01-01 42086
2018-01-01 44728
2019-01-01 47212
2020-01-01 48393
2021-01-01 47599
2022-01-01 55108

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