Perfil Sociocultural

.title[
# Perfil Sociocultural
]
.subtitle[
## Censo Industrial Pesquero - 2023-2024
]
.author[
### <br><br>Observatorio de Problemáticas Pesqueras
]
.institute[
### INHUS - CONICET/UNMDP, Mar del Plata
]
.date[
### Consorcio Portuario - 2026-08-27
]

---

<div class="kpi-hero">
<p class="kpi-lead">Relevamiento de la estructura productiva, destino de la producción, origen de materia prima de las plantas activas y el perfil sociocultural de la fuerza laboral del Partido de General Pueyrredon.</p>
<div class="kpi-row">
<div class="kpi-item"><div class="kpi-n">236</div><div class="kpi-l">Plantas activas<br>relevadas</div></div>
<div class="kpi-item"><div class="kpi-n">188</div><div class="kpi-l">Encuestas<br>realizadas</div></div>
<div class="kpi-item"><div class="kpi-n">86</div><div class="kpi-l">Plantas<br>censadas</div></div>
<div class="kpi-item"><div class="kpi-n">6</div><div class="kpi-l">Entrevistas<br>realizadas</div></div>
</div>
<p class="kpi-sub">44 encuestas a empresas y 144 a trabajadoras y trabajadores del pescado</p>
<p class="kpi-src">Fuente: Censo Industrial Pesquero 2023-2024</p>
</div>

---
class: center, middle, inverse, title-slide

---

### Origen de los datos: Empresarixs 44

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### En Línea: 17 Mujeres y 17 Varones

### Presencial: 10 Varones

---
### Tipo de organización

##### Cómo se organizan las **236** plantas activas relevadas.

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---

### Tipo de actividad de las plantas censadas

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---

##### El grueso de las plantas registradas y actualmente activas iniciaron sus actividades entre la década de 1990 y la década de 2000.

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##### N = 174 · Fuente: Censo empresa, ARCA (razón social)
<p style="font-size:14px; margin:2px 0 0;">El <strong>91%</strong> de las empresas relevadas tiene una sola planta, <strong>7%</strong> dos plantas y solo el <strong>2%</strong> tres plantas.</p>

---

### **Origen de exportación**

##### Puerto de salida de las plantas que exportan su producción. Una planta puede declarar más de un origen.

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---
### Flota propia

##### Proporción de plantas procesadoras que cuentan con flota propia de captura.

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---
### Origen de la materia prima

##### De dónde proviene el pescado y marisco que procesan las plantas.

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---
### Materia prima de otros puertos

##### ¿Procesan materia prima descargada en otros puertos?

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---
### Puertos de origen de esa materia prima

##### Plantas que procesan descargas de otros puertos.

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---
### **Destino de la producción**

##### Una planta puede tener más de un destino.

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---

### **Principales productos**

##### Los principales productos elaborados por las plantas relevadas en el censo.

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---

### **Especies objetivo**

##### Las principales especies objetivo procesadas por las plantas relevadas en el censo (ranking 1).

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---

<p class="infra-title">Infraestructura</p>
<div class="infra-grid">
<div class="infra-card"><div class="infra-tag">Mínima</div><div class="infra-n">60 m²</div><div class="infra-l">Superficie cubierta</div></div>
<div class="infra-card"><div class="infra-tag">Máxima</div><div class="infra-n">26.730 m²</div><div class="infra-l">Superficie cubierta</div></div>
<div class="infra-card"><div class="infra-tag">Mínima</div><div class="infra-n">10 ton</div><div class="infra-l">Almacenamiento en frío<br>(no frigorífico)</div></div>
<div class="infra-card"><div class="infra-tag">Máxima</div><div class="infra-n">16.000 ton</div><div class="infra-l">Almacenamiento en frío<br>(no frigorífico)</div></div>
</div>

---
class: center, middle, inverse, title-slide

---

<p class="pers-title">Personal</p>
<p class="pers-n">N = 78 plantas · 5.137 personas declaradas</p>
<div class="pers-top">
<div class="pers-card"><div class="pers-k">5.137</div><div class="pers-l">Personal alcanzado</div></div>
<div class="pers-card"><div class="pers-k">66</div><div class="pers-l">Promedio por planta</div></div>
<div class="pers-card"><div class="pers-k">115</div><div class="pers-l">Capacidad máxima<br>promedio por planta</div></div>
</div>
<div class="pers-bot">
<div class="pers-card mujer"><div class="pers-k">40%</div><div class="pers-l">Mujeres</div></div>
<div class="pers-card varon"><div class="pers-k">60%</div><div class="pers-l">Varones</div></div>
</div>

---

### Proporción varones / mujeres por franja etaria

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---

### Trabajadores por sector y género

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---

### **Tipos de contratación**

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---
### Ocupación de capacidad instalada

##### Relación entre el personal ocupado y el máximo declarado. Promedio: **70%**.

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class: mapa-slide

<div class="mapa-hero">
<p class="mapa-title">Distribución espacial de plantas pesqueras en Mar del Plata</p>
<div class="mapa-years"><span>Censo Industrial Pesquero 1996</span><span>Censo Industrial Pesquero 2023</span></div>
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alt="Mapa comparativo 1996-2023">
<div class="mapa-legend">
<span class="mapa-sw" style="background:#e8c547"></span>Av. Fortunato de la Plaza
<span class="mapa-sw" style="background:#2e7d32"></span>Av. Juan B. Justo
<span class="mapa-sw" style="background:#1a237e"></span>Ruta Nro. 2
<span class="mapa-sw" style="background:#6a1b9a"></span>Ruta Nro. 88
<span class="mapa-sw" style="background:#c62828"></span>Talcahuano
<div class="mapa-n">n: 127 (1996) · n: 236 (2023)</div>
<div class="mapa-src">Fuente: Censos Industriales Pesqueros 1996 y 2023</div>
</div>
</div>

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### Origen de los datos: Trabajadorxs 144

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### Sector Formal:    64  (V.59% - M.41%)

### Sector Informal:  41  (V.45% - M.55%)

### Sin datos:        39  (V.33% - M.66%)

---

## Origen de respondentes trabajadorxs por género

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---

## Lugar de nacimiento de los respondentes obrerxs

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---

## Edad de los respondentes

### Promedio de edad: 42 años

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---

## Edad de las respondentes por género

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---

## Frecuencia y promedio de edad por nivel educativo

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---

## Antigüedad en la actividad

### Promedio de edad inicial: 21 | Promedio de antigüedad: 19

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---

## Antigüedad en la planta

### Promedio de antigüedad en la planta: 13

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---

## Género y Rol

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class: center, middle, inverse, title-slide

---

## Derechos laborales del primer trabajo en el sector

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---

## Derechos laborales del trabajo actual

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## Enfermedades laborales en el sector

### El 73% afirmó haber sufrido o estar sufriendo una enfermedad.

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## Accidentes

### El 54% afirmó haber sufrido un accidente en el trabajo.

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---

## Comodidades en el lugar de trabajo según condición

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---

## Jornada fija/variable según relación laboral

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## Promedio de horas según género (jornada variable)

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---

## Menores a cargo

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---

## Riesgos Psicosociales

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---

.title[
# ¡GRACIAS POR SU ATENCIÓN!
]
.subtitle[
## Censo Industrial Pesquero - 2023-2024
]
.author[
### <br><br>Observatorio de Problemáticas Pesqueras
]
.institute[
### INHUS - CONICET/UNMDP, Mar del Plata
]
.date[
### Consorcio Portuario - 2026-08-27
]

### https://censopesquero.com.ar/