Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rio Arriba County, NM
Series ID MHICILBNM35039A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 14991
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18881
1994-01-01 .
1995-01-01 21416
1996-01-01 .
1997-01-01 21874
1998-01-01 23204
1999-01-01 26261
2000-01-01 27130
2001-01-01 27364
2002-01-01 28498
2003-01-01 30532
2004-01-01 30952
2005-01-01 31534
2006-01-01 34361
2007-01-01 34223
2008-01-01 35278
2009-01-01 36652
2010-01-01 33788
2011-01-01 34236
2012-01-01 33887
2013-01-01 34167
2014-01-01 31783
2015-01-01 33510
2016-01-01 33201
2017-01-01 33484
2018-01-01 36886
2019-01-01 40497
2020-01-01 43042
2021-01-01 41844
2022-01-01 52598
2023-01-01 46543

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