Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sierra County, NM
Series ID MHICILBNM35051A052NCEN
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 2:32 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 10577
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14691
1994-01-01 .
1995-01-01 16750
1996-01-01 .
1997-01-01 17514
1998-01-01 18852
1999-01-01 21573
2000-01-01 22090
2001-01-01 21424
2002-01-01 21236
2003-01-01 21681
2004-01-01 22296
2005-01-01 21919
2006-01-01 23019
2007-01-01 21899
2008-01-01 24839
2009-01-01 24229
2010-01-01 23892
2011-01-01 25867
2012-01-01 25533
2013-01-01 27109
2014-01-01 26281
2015-01-01 26915
2016-01-01 27221
2017-01-01 27706
2018-01-01 28747
2019-01-01 29526
2020-01-01 31388
2021-01-01 33095
2022-01-01 35421
2023-01-01 35367

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