Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Valencia County, NM
Series ID MHICILBNM35061A052NCEN
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 20000
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23876
1994-01-01 .
1995-01-01 27122
1996-01-01 .
1997-01-01 27135
1998-01-01 29082
1999-01-01 30931
2000-01-01 32475
2001-01-01 32082
2002-01-01 32419
2003-01-01 33824
2004-01-01 34740
2005-01-01 36112
2006-01-01 38265
2007-01-01 35784
2008-01-01 39154
2009-01-01 38068
2010-01-01 37380
2011-01-01 39098
2012-01-01 36900
2013-01-01 37873
2014-01-01 36885
2015-01-01 39184
2016-01-01 40924
2017-01-01 42135
2018-01-01 42575
2019-01-01 50566
2020-01-01 45346
2021-01-01 46161
2022-01-01 47834

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