Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lewis and Clark County, MT

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lewis and Clark County, MT
Series ID MHICILBMT30049A052NCEN
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 12:51 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 25096
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30064
1994-01-01 .
1995-01-01 31192
1996-01-01 .
1997-01-01 33553
1998-01-01 35243
1999-01-01 35894
2000-01-01 37184
2001-01-01 36473
2002-01-01 36822
2003-01-01 38189
2004-01-01 39379
2005-01-01 43223
2006-01-01 41624
2007-01-01 42837
2008-01-01 46667
2009-01-01 48519
2010-01-01 48574
2011-01-01 48976
2012-01-01 50132
2013-01-01 50528
2014-01-01 50652
2015-01-01 52253
2016-01-01 56119
2017-01-01 55206
2018-01-01 59639
2019-01-01 60264
2020-01-01 54508
2021-01-01 62241
2022-01-01 68990

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