Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Valencia County, NM
Series ID MHICIUBNM35061A052NCEN
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 3:12 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 24230
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28231
1994-01-01 .
1995-01-01 33123
1996-01-01 .
1997-01-01 33034
1998-01-01 34951
1999-01-01 35231
2000-01-01 37552
2001-01-01 36657
2002-01-01 37082
2003-01-01 38283
2004-01-01 39311
2005-01-01 41824
2006-01-01 43335
2007-01-01 41941
2008-01-01 46785
2009-01-01 44920
2010-01-01 43724
2011-01-01 44868
2012-01-01 43418
2013-01-01 44951
2014-01-01 44297
2015-01-01 45606
2016-01-01 46714
2017-01-01 50175
2018-01-01 50155
2019-01-01 59168
2020-01-01 57782
2021-01-01 54859
2022-01-01 58716
2023-01-01 61987

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