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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nez Perce County, ID

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nez Perce County, ID
Series ID MHICILBID16069A052NCEN
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 1:54 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 23715
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27977
1994-01-01 .
1995-01-01 30156
1996-01-01 .
1997-01-01 31882
1998-01-01 33600
1999-01-01 33894
2000-01-01 34899
2001-01-01 34048
2002-01-01 34314
2003-01-01 34889
2004-01-01 36171
2005-01-01 36143
2006-01-01 38839
2007-01-01 38081
2008-01-01 43661
2009-01-01 39385
2010-01-01 39671
2011-01-01 40255
2012-01-01 41440
2013-01-01 43497
2014-01-01 42570
2015-01-01 47871
2016-01-01 45617
2017-01-01 49720
2018-01-01 49326
2019-01-01 63910
2020-01-01 49785
2021-01-01 55532
2022-01-01 58922

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