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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Juan County, NM

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Juan County, NM
Series ID MHICILBNM35045A052NCEN
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 20549
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24644
1994-01-01 .
1995-01-01 26282
1996-01-01 .
1997-01-01 27276
1998-01-01 27665
1999-01-01 30073
2000-01-01 31427
2001-01-01 32116
2002-01-01 32058
2003-01-01 33791
2004-01-01 34600
2005-01-01 34323
2006-01-01 36957
2007-01-01 40938
2008-01-01 42884
2009-01-01 43327
2010-01-01 41221
2011-01-01 42574
2012-01-01 43841
2013-01-01 41381
2014-01-01 44016
2015-01-01 46177
2016-01-01 47939
2017-01-01 43124
2018-01-01 42960
2019-01-01 42807
2020-01-01 39821
2021-01-01 45330
2022-01-01 47706

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