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Statement of the Problem
This study aimed to establish how demographics and other
factors in the community affect juvenile delinquency,
particularly among children in conflict with the law in Baler,
Aurora. And also, to determine the situation of the juvenile
offender and their environment in the community of Baler, Aurora
in the year 2020-2021. Here the study sought to answer the
following questions:
1. What is the profile of the juvenile delinquents in Baler,
Aurora in 2020–2021 in terms of:
1.1 sex
1.2 age
1.3 highest educational attainment
1.4 residence
2. What are the categories of crime committed by juvenile
delinquents in 2020-2021?
3. Is there a significant association between:
3.1. age and categories of crimes committed by the juvenile
delinquents of Baler, Aurora in 2020-2021;
3.2. highest educational attainment and the categories of crime
committed by the juvenile delinquency of Baler, Aurora in 20202021; and
3.3. residence and categories of crime committed by juvenile
delinquents of Baler, Aurora in the year 2020-2021?
4. What are the common reasons for the crime commission stated
by juvenile delinquents?
5. What are the intervention or diversion programs administered
to the juvenile delinquents?
6. What is the proposed action plan for juvenile delinquency
prevention?
Hypothesis
This
study
significance
of
aims
this
to
determine
hypothesis
to
the
relationship
juvenile
delinquents
and
of
Baler,Aurora.
Ho1. There is a significant difference between juveniles with
adequate
parent’s
attention
and
juvenile
with
no
parent’s
attention.
Ho2.
Environmental
factors
and
influences
have
a
significant
factor on juvenile delinquency.
Ho3. Poverty has a strong relationship with juvenile delinquency
Treatment of Data
The data gathered will be submitted to the statistical
treatments:
Percentage. Is applied to create a contingency table from
the frequency distribution and represent the collected data for
better understanding.
Formula:
Percentage=
πΉπ‘Ÿπ‘’π‘žπ‘’π‘’π‘›π‘π‘¦
𝑇𝑦𝑝𝑒 π‘œπ‘“ πΆπ‘Ÿπ‘–π‘šπ‘’
x 100
Chi-Square Distribution is used to test the association or
independence between the independent variables of the current
study, specifically the age, gender, educational background and
to the categories of crime committed by a juvenile delinquent.
Juvenile Cases in 2020-2021 (as per the records of PNP & MSWD
Baler)
Sex
Age
Highest
Crime
Educational
Category
Barangay Remarks
Attainment
Male
17
High School
Theft
Sabang
Filed at RTC
Male
16
High School
Theft
Sabang
Filed at RTC
Male
15
Out Of
Viol. Of RA
Zabali
Released to
School
9165
parents,
undergo
intervention
Male
17
High School
Viol. Of RA
9165
Pingit
Released to
parents,
undergo
intervention
Male
Male
17
17
Out Of
Viol. Of RA
School
9165
Out Of
Rape
Buhangin At DSWD RRCY
FO III
Suklayin At
School
Provincial
Bahay
Pagbabago
Female
16
High School
Theft
Buhangin Filed at RTC
Male
17
High School
Rape
Sabang
At
Provincial
Bahay
Pagbabago
Male
17
High School
Illegal
Pingit
Gambling
Released to
parents,
undergo
intervention
Male
16
Out of
Resistance
School
To Authority
Zabali
Released to
parents,
undergo
intervention
Male
16
High School
Resistance
To Authority
Zabali
Released to
parents,
undergo
intervention
Male
17
High School
Direct
Barangay Released to
Assault
1
parents,
undergo
intervention
Male
16
Out of
Direct
Barangay Released to
School
Assault
1
parents,
undergo
intervention
Male
16
Out of
Rape
Zabali
School
At
Provincial
Bahay
Pagbabago
Male
17
Out of
Theft
Sabang
Filed at RTC
Theft
Pingit
Released to
School
Male
17
High School
parents,
undergo
intervention
Male
16
High School
Theft
Barangay Released to
1
parents,
undergo
intervention
Male
17
High School
Viol. Of RA
Reserva
9165
Male
16
Out of
Viol. Of RA
School
9165
At DSWD RRCY
FO III
Reserva
Released to
parents,
undergo
intervention
Male
17
High School
Viol. Of RA
Reserva
9165
Male
17
High School
At DSWD RRCY
FO III
Qualified
Calabuan Filed at RTC
Trespass To
an
Dwelling
Male
17
High School
Unjust
Sabang
Filed at RTC
Vexation
Male
Female
17
16
Out Of
Frustrated
School
Murder
Out Of
Theft
School
Suklayin Filed at RTC
Buhangin Released to
parents,
undergo
intervention
Table 1. Sex of the Respondents
Sex
Male
Female
TOTAL
Frequency
22
2
24
Percentage
91.67
8.33
100.00
Table 1 shows the sex profile of juvenile delinquents in Baler
in 2020-2021. 22 or 91.67% of the total number of juvenile
delinquents are male, while 2 or 9.33% of the total number of
respondents are female. Thus, it can be inferred that most of
the juvenile delinquents in Baler in 2020-2021 are males.
More adolescents generally make up the dominant part of
delinquents. In any case, the most recent wrongdoing among male
adolescents has developed at a quicker pace than that of female
guilty parties (Chesney-Lind and Okamoto, 2001)
Table 2. Age of the Respondents
Age
8 and below
9-11
12-14
15-17
TOTAL
Table 2 shows
delinquents. There
bracket of 8 years
or 100% are within
the
are
and
the
Frequency
Percentage
0
0
0
0
0
0
24
100
24
100.00
age of the respondents of the juvenile
no juvenile delinquents within the age
below, 9-11 and 12-14, and 24 respondents
age 15-17 years old.
RRL…
Table 3. Highest Educational Attainment of the Respondents
Highest Educational
Frequency
Percentage
Attainment
High School
14
58.33
Graduate
College
0
0
Undergraduate
Out of School
10
41.67
TOTAL
24
100.00
Table 3 shows the highest educational attainment of
juvenile delinquents in Baler in 2020-2021. 14 or 58.33% of the
total number of juvenile delinquents are high school graduates,
10 of the total number are out-of-school youth and no juvenile
delinquents are college graduates.
RRL…
Table 4. Residence of the Respondents
Barangay
Barangay 1
Buhangin
Calabuanan
Pingit
Reserva
Sabang
Suklayin
Zabali
TOTAL
Frequency
3
3
1
3
3
5
2
4
24
Percentage
12.5
12.5
4.17
12.5
12.5
20.83
8.33
16.67
100.00
Table 4 shows the residence of the juvenile delinquents of
Baler in the year 2020-2021. The place of the crime commission
is categorized by political jurisdiction or by barangay. The
data reveals that 5 or 20.83% of juvenile delinquents resided in
Sabang, 4 or 16.67% in Zabali, 3 or 12.5% in Barangay 1,
Buhangin, Pingit and Reserva, 2 or 8.33% in Suklayin, and 1 or
4. 17% in Calabuanan.
Most juvenile delinquents of the year 2020-2021 are
residing in Brgy. Sabang, while Brgy. Calabuanan has the least
number of juvenile delinquents.
RRL…
Table 5. Crime Category Committed by the Juvenile Delinquents
Crime Category
Theft
Violation of RA
9165
Rape
Illegal Gambling
Resistance to
Authority
Direct Assault
Qualified Trespass
to Dwelling
Unjust Vexation
Frequency
7
Percentage
29.17
6
25
3
1
12.5
4.17
2
8.33
2
8.33
1
4.17
1
4.17
Frustrated Murder
TOTAL
1
24
4.17
100.00
Table 5 shows the crime category of juvenile delinquents in
the year 2020-2021 in Baler. In the gathered data, 9 categories
of crimes were committed by the respondents.
The most frequent crime is theft with 7 commissions at
29.17% of the juvenile delinquency rate, followed by the
Violation of RA 9165 known as “The Comprehensive Dangerous Drugs
Act of 2002” with 6 commissions at 25%. The third highest
frequency is rape with 3 commissions at 12.5% followed by
resistance to authority and direct assault with 2 commissions at
8.33%, and the least frequent being qualified trespass to
dwelling, unjust vexation, frustrated murder, and illegal
gambling with only 1 commission at 4.17%.
Theft and drug-related crimes are among the top crimes
among juvenile delinquents. This may be due to the desperate
financial deprivation of juvenile delinquents.
RRL…
Table 6. The Association between Age and Categories of Crime
Committed by the Juvenile Delinquents of Baler, 2020-2021
Variables
Computed
x2-value
p-value
Decision
of Ho
Interpretation
Age and
categories
of crime
There is no
Failed to
committed
10.8707
0.8173
significant
reject Ho
by the
association
Juvenile
Delinquents
Table 6 reveals the association between age and categories
of crime committed by the juvenile delinquents of Baler during
the year 2020-2021. Since the data is not normalized, a nonparametric, chi-square test is utilized as a statistical tool
for the test of association.
The computed x2-value is 10.8707, which has a p-value of
0.8173. At 0.05 significance level, our p-value is greater than
0.05, which means that we have no sufficient evidence to reject
our null hypothesis. Since we fail to reject our null
hypothesis, hence there is no significant association between
the age and categories of crime committed by juvenile
delinquents. This implies that the age and categories of crime
committed by juvenile delinquents have no significant
association.
RRL…
Table 7. The Association between Highest Educational Attainment
and Categories of Crime Committed by the Juvenile Delinquents of
Baler, 2020-2021
Variables
Computed
x2-value
p-value
Decision
of Ho
Interpretation
Highest
Educational
attainment
and
There is no
categories
Failed to
5.0939
0.9953
significant
of crime
reject Ho
association
committed
by the
Juvenile
Delinquents
Table 7 reveals the association between the highest
educational attainment and categories of crime committed by the
juvenile delinquents of Baler during the year 2020-2021. Since
the data is not normalized, a non-parametric, chi-square test is
utilized as a statistical tool for the test of association.
The computed x2-value is 5.0939, which has a p-value of
0.9953. At 0.05 significance level, our p-value is greater than
0.05, which means that we have no sufficient evidence to reject
our null hypothesis. Since we fail to reject our null
hypothesis, hence there is no significant association between
the highest educational attainment and categories of crime
committed by juvenile delinquents. This implies that the highest
educational attainment and categories of crime committed by
juvenile delinquents have no significant association.
RRL…
Table 8. The Association between Residence and Categories
of Crime Committed by the Juvenile Delinquents of Baler, 20202021
Variables
Computed
x2-value
p-value
Decision
of Ho
Interpretation
Residence
and
categories
There is a
of crime
89.0952
0.0032
Reject Ho
significant
committed
association
by the
Juvenile
Delinquents
Table 7 reveals the association between residence and
categories of crime committed by the juvenile delinquents of
Baler during the year 2020-2021. Since the data is not
normalized, a non-parametric, chi-square test is utilized as a
statistical tool for the test of association.
The computed x2-value is 89.0952, which has a p-value of
0.0032. At 0.05 significance level, our p-value is less than
0.05, which means that we have sufficient evidence to reject our
null hypothesis. Since we are able to reject our null
hypothesis, hence there is significant association between
residence and categories of crime committed by juvenile
delinquents. This implies that residence and categories of crime
committed by juvenile delinquents have significant association.
RRL…
Table 9. Reasons of Crime Commission
…based on actual interview…
Table 10. Administered Programs for Juvenile Delinquents in
Baler
…based on actual interview…
Table 11. Action Plan for Juvenile Delinquency Prevention
Action Plan framework for the prevention of further
juvenile delinquency acts in Baler.
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