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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carson City, NV

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carson City, NV
Series ID MHICIUBNV32510A052NCEN
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 1:09 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 31787
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36626
1994-01-01 .
1995-01-01 40929
1996-01-01 .
1997-01-01 43690
1998-01-01 45333
1999-01-01 43774
2000-01-01 45908
2001-01-01 44783
2002-01-01 45343
2003-01-01 45828
2004-01-01 47951
2005-01-01 50608
2006-01-01 49400
2007-01-01 53900
2008-01-01 55432
2009-01-01 56812
2010-01-01 53360
2011-01-01 54382
2012-01-01 52319
2013-01-01 50738
2014-01-01 48701
2015-01-01 51170
2016-01-01 55872
2017-01-01 58204
2018-01-01 60040
2019-01-01 62231
2020-01-01 64348
2021-01-01 69831
2022-01-01 68356

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