Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mineral County, NV
Series ID MHICIUBNV32021A052NCEN
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 1:51 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 30797
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32630
1994-01-01 .
1995-01-01 33453
1996-01-01 .
1997-01-01 36812
1998-01-01 37365
1999-01-01 34488
2000-01-01 35787
2001-01-01 34869
2002-01-01 33408
2003-01-01 33697
2004-01-01 35590
2005-01-01 38397
2006-01-01 38503
2007-01-01 41187
2008-01-01 41460
2009-01-01 39661
2010-01-01 43689
2011-01-01 43815
2012-01-01 44283
2013-01-01 44546
2014-01-01 44951
2015-01-01 46124
2016-01-01 46499
2017-01-01 50592
2018-01-01 49360
2019-01-01 49046
2020-01-01 57944
2021-01-01 60082
2022-01-01 62755

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