Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cherokee County, NC
Series ID MHICILBNC37039A052NCEN
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 15744
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19529
1994-01-01 .
1995-01-01 21453
1996-01-01 .
1997-01-01 22465
1998-01-01 24140
1999-01-01 25998
2000-01-01 26772
2001-01-01 25785
2002-01-01 26132
2003-01-01 26786
2004-01-01 28319
2005-01-01 28377
2006-01-01 30320
2007-01-01 32196
2008-01-01 30434
2009-01-01 30184
2010-01-01 30284
2011-01-01 29710
2012-01-01 28917
2013-01-01 31792
2014-01-01 31379
2015-01-01 35972
2016-01-01 33915
2017-01-01 34480
2018-01-01 37796
2019-01-01 38316
2020-01-01 40505
2021-01-01 40823
2022-01-01 48106

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